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Segra is searching for a qualified and experienced Billing Transformation Data Analyst to join us in a full-time capacity.
Location Requirement:
This work arrangement for this role is a hybrid position, requiring three (3) days in the office, with flexibility to work remotely two (2) days each week.
Role Overview:
The Billing Transformation Data Analyst will need to be detail-oriented and analytical. The incumbent will be responsible for analyzing billing data, ensuring accuracy in customer invoicing, and supporting revenue assurance initiatives. The incumbent will also assist others on the team who work closely with cross-functional teams, including IT, Finance, and Customer Service—to identify and resolve billing discrepancies, automate reporting processes, and optimize billing system performance.
The Billing Transformation Data Analyst will also assist with ensuring billing is processed accurately, as necessary, supporting the members of the Billing Transformation team. This position will assist others on the team with the design, development, implementation, and execution of processes related to the analysis of all billing.
Required Skills:
- Minimum of 2 years of experience in data analytics, and Telecommunications systems and business practices.
- Bachelor’s degree in business/information systems or another technical/analytical field or equivalent experience required.
- Strong proficiency in SQL for data extraction, manipulation, and reporting is required.
- Ability to understand work with a billing platform or similar system, understand system processes, and query language is required.
Preferred Skills:
- Effective organizational skills.
- Exceptional written and verbal communication skills with a strong ability to communicate with multiple leaders and levels of the business, with strengths in communicating results.
- Strong problem-solving and analytical skills with high attention to detail are essential.
- The ability to meet pressured deadlines and prioritize competing priorities.
- Ability to comprehend technical product structures in various formats.
- Preferred tools include Power BI, Alteryx, Tableau, and MS Access.
About Segra:
Segra is one of the largest independent fiber network companies in the nation, able to offer state-of-the-art communication solutions backed by always-on customer service. We are known for our future-forward infrastructure and state-of-the-art voice and data technology solutions for businesses and the public sector, as well as wholesale transport services to some of the world’s largest carriers. Our network features the latest advances in IP, ethernet, and dark fiber architectures, as well as high performance data centers. Furthermore, our network powers technology solutions such as hosted voice, security, and cloud.
Segra has engineered our entire company operations to put our customers at the very center of everything we do. We invest in the communities we serve by hiring locally and continually upgrading our network infrastructure. Segra has over 1200 employees, 500k+ on-net and near-net buildings, and 44k+ fiber-route miles. We exist purely to help businesses within our footprint be successful.
Benefits Overview:
Segra offers a very robust benefits package to our full-time employees, some of which include:
- Medical, dental, vision insurance
- Life insurance
- 401(k) match
- Flexible Spending/Health Savings Accounts
- Tuition and gym reimbursements
- Vacation/PTO, paid holidays, floating holidays
- Volunteer days, parental leave
- Legal, accidental, hospital indemnity, identify theft, pet insurance
Our Commitment to Equality:
Segra is an equal opportunity employer and prohibits discrimination of any kind. Segra does not discriminate on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.
Salary Range: $47,670 - $59,535
Beyond competitive health and retirement benefits with immediate 401(k) vesting, Segra also invests in your total well-being through programs supporting physical, mental, financial, and social wellness.
We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth.
Find your future with us.
Boeing Commercial Airplanes is excited to offer opportunities for an Aircraft Structures Mechanic to join our Join and Installation team in Everett and Renton, Washington .
As an Aircraft Structures Mechanic, you will utilize your manufacturing knowledge to set up tools and equipment for drilling and fastening complex structures, including composite materials.
You will operate various hand and machine tools, including automated equipment, to perform tasks according to specifications while ensuring safety and quality standards.
Your responsibilities will include recognizing and reporting any equipment malfunctions, performing maintenance, and coordinating the movement of materials and tools.
You will also cut, assemble, and install components, verify your work against specifications, and handle hazardous materials safely.
You will play a critical role in upholding our commitment to safety and quality standards, ensuring that all operations meet regulatory compliance and operational excellence.
If you are detail-oriented, possess strong technical skills, and thrive in a collaborative environment, we invite you to apply and be a part of our mission to deliver excellence in aviation.
Position Responsibilities: Review daily reports and consult with team leaders to determine job assignments and obtain necessary documentation.
Locate work areas using specified drawings and paperwork.
Verify kitted parts against installation plans and bill of materials, ensuring they are suitable and defect-free.
Retrieve non-kitted parts from designated areas, ensuring compliance with specifications.
Use electronic devices to access work instructions and engineering data (personal cell phones not permitted).
Select and utilize appropriate hand and power tools for assembly tasks, including precision alignment equipment.
Move kits, carts, and equipment within the work cell as needed.
Load/unload jigs and operate mechanical lifts for assembly work.
Locate tools and parts on aircraft using specified methods and set up assembly tools per instructions.
Handle hazardous materials safely and dispose of them properly.
Inspect completed work for defects and cleanliness before submission for inspection.
Perform minor rework and maintain tool control in accordance with procedures.
Maintain personal and tool certifications and seek assistance from supervisors when necessary.
Set up tools and equipment for drilling and fastener installation in complex structures.
Operate various hand and machine tools, monitoring equipment functionality and performing routine maintenance.
Coordinate the movement and preparation of materials and tools for tasks.
Cut, file, drill, and assemble parts, ensuring proper fitting and quality standards.
Conduct reaming, riveting, and sealing operations, applying corrosion inhibitors as needed.
Utilize calibrated tools to verify work against specifications and ensure quality.
Manage equipment and materials within the work cell to ensure efficient workflow.
Physical Demands and Potential Hazards: Perform physical tasks that include lifting weights ranging from 10-15 lbs to 15-35 lbs.
Engage in various movements such as reaching, handling, turning, twisting, lifting, lowering, climbing, balancing, bending, kneeling, crouching, and squatting.
Work in environments that may involve contact with metals, solvents, and coolants.
Operate in proximity to moving parts and tools, sharp cutters, and potential slipping hazards.
Adapt to varying noise levels and atmospheric conditions.
Utilize personal safety gear to protect face/eyes, hands/arms, and feet while performing job duties.
This position is expected to be 100% onsite.
The selected candidate will be required to work onsite at one of the listed location options.
This position must meet Export Control compliance requirements, therefore a “US Person” as defined by 22 C.F.R.
§ 120.15 is required.
“US Person” includes US Citizen, lawful permanent resident, refugee, or asylee Current Boeing employees working in Puget Sound must submit an Employee Request Transfer (ERT) to be considered in the eligible candidate pool.
Resumes of current Puget Sound Boeing employees submitted via Careers at Boeing will not be considered.
Aerospace Technician and Mechanic Aptitude Virtual Job Tryout: To be considered for this position you will be required to complete a technical assessment as part of the selection process.
Failure to complete the assessment will remove you from consideration.
Basic Qualifications : 1 years of experience working with mechanical or structures related statements of work; such as construction, aerospace, automotive, maritime or similar industry; this can include education and military.
1 year experience utilizing and following detailed work instructions, reading and interpreting blueprints, drawings, and specifications.
1 years of experience using high impact vibratory tools; such as bucking/riveting.
Ability to walk constantly throughout the workday; stand 6-8 hours per day; climb or work from stairs/steps up to 8 hours per day; climb ladders; bend and twist frequently up to six hours per day; squat and kneel.
Ability to lift up to 35 pounds.
This positions requires you to wear eye, hearing, foot, hand, respirator and other personal protective equipment/safety gear at all times.
Proficiency in reading, writing, and speaking English.
Preferred Qualifications : 1 years of experience performing aircraft structural work or equivalate.
Enrolled in a Boeing partnered manufacturing related high school or community and technology college academic program.
Typical Education & Experience: High school graduate or GED preferred.
Relocation: This position offers relocation based on candidate eligibility.
Drug Free Workplace Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Union Representation Statement: This is an hourly position governed by the International Association of Machinists (IAM-751) Collective Bargaining agreement.
Shift Work Statement : This position is for a variety of shifts Total Rewards & Pay Transparency: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.
Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay: $25.32/hour, with potential to earn up to $54.76/hour in accordance with the terms of the relevant collective bargaining agreement.
Applications for this position will be accepted until Apr.
10, 2026 Language Requirements English Preferred Relocation This position offers relocation based on candidate eligibility.
Visa Sponsorship Employer will not sponsor applicants for employment visa status.
Shift This position is for variable shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer.
Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Salary range:
The starting, full-time equivalent annual salary rate is currently $140,169. Appointments are typically for one to three sections per term, up to three terms per year, resulting in total compensation of approximately $8,181 per section at 17% FTE per academic term, as of Summer 2025. This salary rate will increase in subsequent terms in accordance with the terms of the labor contract.
Percent time:
Percent time 10% to 100% time
Anticipated start:
Positions typically start in January, May, and August.
Review timeline:
Applicants are considered for positions as needs arise; the existence of this pool does not guarantee that a position is available.
Position duration:
Initial position duration is for up to one year, with the possibility for renewal. Appointments may be renewed based on need, funding, and performance.
Application Window
Open date: March 4, 2026
Next review date: Thursday, Mar 19, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Thursday, Mar 4, 2027 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The School of Information at the University of California, Berkeley, invites applications for a pool of part-time, non-tenure track lecturers to teach online courses in the Master of Information and Data Science (MIDS) program. We seek exceptional instructors with professional and/or academic expertise who can lead small, highly interactive sections of around 17 graduate students in this innovative, online program.
Courses in the MIDS program are pre-designed and structured, allowing instructors to focus on delivering dynamic and engaging learning experiences while providing valuable expertise to enhance student outcomes. Screening of applicants is ongoing and will continue as the program's needs evolve. The number of available positions may vary by semester based on the School's requirements.
Please Note:
Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
About The I School
The Berkeley School of Information (I School) is a global bellwether in a world awash in information and data, boldly leading the way with education and fundamental research that translates into new knowledge, practices, policies, and solutions. I School scholars and practitioners thrive in the intersections where people, organizations, and societies interact with information, technology, and data. The faculty comprises a mix of disciplines, including information, computer science, economics, political science, law, sociology, design, media studies, and more.
The I School offers three professional master's degrees and an academic doctoral degree. The MIMS program trains students for careers as information professionals and emphasizes small classes and project-based learning. The online MIDS program trains data scientists to manage and analyze the coming onslaught of big data in a unique high-touch online degree. The online MICS program prepares cybersecurity leaders with the technical skills and contextual knowledge necessary to develop solutions for complex cybersecurity challenges. The Ph.D. program equips scholars to develop solutions and shape policies that influence how people seek, use, and share information. Our cohorts and classes are small enough to support intense student engagement, and we encourage collaboration among the students, faculty, and staff in the I School community. Our alumni have careers in diverse fields, such as data science, user experience design and research, product management, engineering, information policy, cybersecurity, and more.
We are committed to attracting outstanding instructors from academia and industry who bring diverse perspectives and experiences to the virtual classroom. Whether your expertise lies in groundbreaking research, innovative industry applications, or both, we value professionals who can bridge theory and practice. Successful lecturers inspire graduate students by integrating real-world applications with deeper theoretical exploration, fostering critical discussions of historical and emerging trends, and preparing students to make an impact in the rapidly evolving field of data science.
If you are an enthusiastic educator or practitioner passionate about shaping the next generation of data science leaders, we encourage you to join our exceptional instructional team.
The instructor role is an exciting opportunity to contribute to the success of graduate students in cutting-edge online MIDS master's programs at UC Berkeley's School of Information.
Responsibilities Include:
Delivering Engaging Online Classes: Plan and lead synchronous sessions that emphasize active learning. Facilitate meaningful discussions, collaborative group activities, and practical exercises that enhance students' understanding and application of core concepts.
Facilitating Student-Centered Learning: Provide personalized support to students by holding virtual office hours, moderating online discussions, and leveraging student analytics to identify and support individual learning needs.
Designing and Refining Course Materials: Develop and update instructional materials, assignments, and assessments. Ensure all content aligns with program objectives, maintains academic rigor, and incorporates an inclusive and equitable learning environment.
Providing Constructive Feedback: Deliver timely, actionable feedback on student assignments and projects to promote growth and mastery of key competencies.
Maintaining Course Operations: Use the learning management system (LMS) and other educational technology tools to manage course websites, post assignments, and communicate with students effectively.
Collaborating with Faculty Teams: Actively participate in course meetings to align instructional practices, address challenges, and share innovative teaching strategies. Attend monthly or bi-monthly faculty meetings to stay connected with program goals, initiatives, and effective online teaching pedagogy.
Advancing Online Pedagogy: Engage in faculty development programs to stay current on the latest research, tools, and practices for effective online teaching. Share insights to enhance the overall learning experience.
Promoting Inclusion: Foster an inclusive, equitable learning environment that respects diverse perspectives and supports all students in achieving their academic and professional goals.
Please note:
The use of a lecturer pool does not guarantee that an open position exists. See the review date in AP Recruit to learn whether the school is reviewing applications for a specific position. If no future review date is specified, your application may not be considered at this time.
UC Berkeley has several policies and programs to support all employees as they balance work and family.
Program:
Policies and Programs to Support All Employees: support-faculty/family-responsive-policies-benefits-programs-and-resources
Course Descriptions: courses/datasci
Qualifications
Basic qualifications (required at time of application)
A bachelor's degree (or equivalent international degree).
Additional qualifications (required at time of start)
Minimum 4 years of professional experience in the relevant field.
Minimum 2 years of experience in teaching in higher education or professional development in relevant fields. Professional development instructional activities would include leading workshops, delivering executive education, providing corporate training, or offering industry-recognized certification programs.
Preferred qualifications
An advanced degree in Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related field.
10 + years of professional experience in fields such as Data Science, Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, Economics, or related fields.
Multiple years of demonstrated excellence in teaching college-level courses, including experience with online instruction.
Familiarity with and use of collaborative learning techniques and student-centered methods of instruction.
Proven organizational skills and ability to complete assignments timely and accurately with minimal supervision.
Possess excellent communication skills, both oral and written, and the ability to communicate effectively with students with a wide range of skills.
Possess excellent interpersonal, customer service, and problem-solving skills. Ability to work well with students, faculty, and staff. Demonstrated strength or potential in teaching at the college level.
Demonstrated ability to support the academic, professional, and personal development of a diverse community through inclusive curriculum, classroom environment, and pedagogy in a multidisciplinary environment.
Teaching or in-depth knowledge and experience in at least one of the following core areas (please see course descriptions):
- Applied Cloud Computing for Data Science
- Applied Machine Learning
- Applied Statistics(R)
- Capstone Projects - real-world projects and industry collaboration
- Computer Vision
- Data Visualization and Communication
- Deep Learning and Neural Networks
- Edge and IoT Data Science
- Experiments and Causal Inference
- Fundamentals of Data Engineering
- Generative AI
- Introduction to Data Science Programming (Python)
- Leadership in Data-Driven Transformation
- Machine Learning at Scale
- Machine Learning Systems Engineering
- Natural Language Processing with Deep Learning
- Privacy, Security, and Ethics in Data Science
- Regression and Time Series Analysis
- Research Design and Data Analysis
- Scalable Data Mining and Analysis
- Statistical Methods for Discrete Response, Time Series, & Panel Data
- Special Topics such as: AI for Sustainability, Autonomous Systems and Robotics, Data, Human-Centered Data Science, Spatial Data Science, Time-Series Analysis and Forecasting
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Teaching Interests/Experience/Approach - Applicants must submit a brief statement outlining their teaching philosophy, experience, and methods. This can include, for example, fostering student success, connecting theory to practice, advancing an inclusive learning environment for all students, facilitating student-centered learning, or providing practical exercises that enhance students' understanding and application of core concepts. The statement should clearly describe the format, audience, and scope of teaching or professional development experience.
The statement should highlight areas of expertise and any experience with online or technology-enhanced teaching.
Please indicate which class(es) you believe you are qualified to teach.
Teaching Evaluations, if available (Optional)
Reference requirements
- 3 required (contact information only)
Apply link:
JPF05270
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA, or remote (US-based).
Title : Data QA Engineer
Location: Minneapolis , Dallas , Atlanta (Onsite)
Job Type : Contract
Exp : 8-15 Years
Key Responsibilities:
- Design, build, and maintain automated data quality frameworks to validate accuracy, completeness, consistency, and timeliness of data.
- Develop automation scripts using Python/SQL to test data pipelines, ETL/ELT processes, and analytics workflows.
- Implement data quality checks and monitoring within Azure-based data platforms.
- Work extensively with Azure services (ADF, ADLS, Synapse) and Databricks for large-scale data processing.
- Integrate data quality validations into CI/CD pipelines and support proactive issue detection.
- Perform root cause analysis for data issues and collaborate with data engineering, analytics, and business teams to resolve them.
- Define and enforce data quality standards, metrics, and SLAs.
Required Skills & Qualifications:
- Strong experience (8–15 years) in data engineering, data quality, or data automation roles.
- Hands-on expertise with Azure data ecosystem and Databricks.
- Strong programming skills in Python and SQL.
- Experience building automated data validation and reconciliation frameworks.
- Solid understanding of data warehousing, data lakes, and distributed data processing.
- Familiarity with DevOps/CI-CD practices for data platforms.
Preferred Skills:
- Experience with data observability or data quality tools.
- Exposure to cloud-scale analytics and performance optimization.
- Strong communication and stakeholder management skills.
Company Description
Ignition Leadership is a selective leadership accelerator designed for ambitious early-career professionals who want to run real businesses, not just manage tasks.
Through structured development, operational immersion, and high-accountability coaching, Ignition prepares high-potential leaders to take ownership of performance, teams, and financial outcomes.
Graduates of the Ignition Manager in Training pathway are placed into leadership roles at Stress-Free Auto Care, a fast-growing, tech-forward automotive platform operating across multiple states.
Ignition turns potential into operational leadership.
Role Description
This is a full-time, on-site leadership development role based in Northern California, Southern California, or Texas.
As a Manager in Training (MIT), you will enter the Ignition Leadership pathway and be placed into operational leadership at Stress-Free Auto Care. From day one, you will learn how to run a modern, data-driven auto repair operation while developing the leadership skills required to manage teams and own financial performance.
This is not a classroom program. It is hands-on business leadership.
You will progress through a defined career path:
• Year 1: Manager in Training → Assistant General Manager
• Year 2: General Manager (full P&L ownership)
• Years 3–4: Senior General Manager (multi-location leadership)
• Year 5+: District Manager (regional oversight)
High performers advance quickly and take on significant operational responsibility.
Responsibilities
• Learn and execute all aspects of shop operations
• Lead technicians and service advisors
• Manage workflow, staffing, and daily performance
• Deliver exceptional customer experience
• Drive revenue and operational KPIs
• Use financial and operational data to improve performance
• Support hiring, coaching, and team development
• Transition into full P&L ownership as you advance
Qualifications
• Bachelor’s degree required
• 0–3 years of professional experience
• Strong leadership potential and ambition
• Excellent communication skills
• Analytical mindset with a bias toward action
• Comfortable in fast-paced, hands-on environments
• Willingness to relocate for advancement (preferred)
5 years of experience managing enterprise network infrastructure.
On-site position based in Weehawken, NJ.
Responsibilities: Support and maintain large-scale data center environments (40 racks).
Install and manage network hardware including switches, routers, and servers.
Work with Cat5e/Cat6 and fiber optic cabling.
Monitor and maintain rack power infrastructure including PDUs and power distribution systems.
Assist with rack layout, power balancing, and equipment installation.
Install and configure physical servers including racking, stacking, and cabling.
Configure RAID storage arrays and install operating systems during physical server deployment.
Configure and maintain Layer 3 routing environments including VLANs, inter-VLAN routing, and switching.
Manage load balancing (F5) and firewall configurations (WatchGuard).
Work with FS and company switches in production environments.
Support high-speed data center networking (10G / 25G / 40G).
Implement and maintain data center redundancy and high-availability network architecture.
Experience troubleshooting complex Layer 2 / Layer 3 network issues.
Implement, manage, and maintain network monitoring systems.
Troubleshoot network performance issues and outages.
Participate in incident response and root cause analysis.
Support environments using Xen virtualization technology.
Work with Linux systems including CentOS and Ubuntu.
Assist with infrastructure automation and AI-related infrastructure where applicable.
Requirements: Ability to lift up to 50 lbs.
Ability to work in data center environments.
Ability to work off-hours or during maintenance windows when necessary.
Candidate must reside within 30 minutes of Weehawken, NJ to support on-site data center operations when necessary.
Required Skills: 5 years of network engineering experience.
Experience working in large infrastructure environments.
Experience with F5 Load Balancers.
Experience with WatchGuard firewalls.
Experience with FS and company switches.
Experience configuring VLANs and network segmentation.
Experience with Linux systems (CentOS, Ubuntu).
Experience with network monitoring tools.
Preferred Skills: Experience with fiber optic termination.
Experience supporting large data center deployments.
Exposure to AI infrastructure environments.
Experience working with virtualization technologies (Xen).
Professional Qualities: Strong team player with the ability to collaborate effectively across technical teams.
Willingness to share knowledge, mentor team members, and contribute to team documentation.
Strong communication and problem-solving skills.
Ability to work independently while maintaining strong collaboration with the team.
This role involves leading complex technology projects, impacting business outcomes through innovative data solutions.
Candidates should have a strong background in data architecture, cloud technologies, and experience mentoring teams.
The successful applicant will engage with clients, ensuring effective delivery and quality management within a dynamic consulting environment.
#J-18808-Ljbffr
Onsite Monday-Thursday, Remote Fridays. About 25% travel
Our company is expanding our Data Center Build & Critical Environment practice, and we’re looking for a Data Center/Construction Solution Architect who can bridge the gap between business needs and physical data center realization.
In this role, you will architect services to produce high availability, high density, and construction-ready solutions across power, cooling, white space, and life-safety systems. You’ll guide clients through complex infrastructure decisions, lead technical scope development, partner with engineering and construction teams, and ensure the services you design perform as intended through commissioning and handover.
If you enjoy shaping mission critical environments, influencing system topologies, and pushing data center capabilities forward—this is the role.
Requirements:
•Bachelor’s or Master’s degree in Mechanical or Electrical Engineering, Industrial Engineering, or Construction Management.
•5+ years in data center design, mission critical construction, critical facilities engineering, or commissioning, preferably in hyperscale or colocation data centers.
•Strong understanding of UPS systems, switchgear, generators, chilled water/DX cooling, containment, fire & life safety, and high density/GPU cooling trends.
•Familiarity with Tier standards, TIA 942, ASHRAE TC 9.9, NFPA codes, and data center design and operational best practices.
•Ability to develop and defend CAPEX/OPEX models, evaluate vendor bids, and write detailed technical SOWs.
- •Skilled at simplifying complex engineering decisions for non-technical leaders and driving alignment across multiple stakeholders.
Our client, a luxury fashion brand, is seeking a CRM Data Analyst Temp to join their NYC team on a temporary basis.
Responsibilities:
- Transform complex client analyses into clear, concise, and visually engaging PowerPoint presentations, influencing stakeholders through compelling data-driven narratives.
- Use product knowledge of our systems, tools, and the client database to identify and implement innovative approaches to client analysis
- Create insightful reports that enable data-driven decisions for home office partners, and proactively explore and implement automation opportunities to enhance efficiency
- Collaborate with key home office partners (e.g. VIC, Fashion Expertise, Events, Retail Operations, Merchandising teams) to support respective team goals and inform strategies with client data
- Dynamically support boutiques with complex client reporting needs and initiatives
- Spend time with boutique teams to understand their individual needs and collaborate on ways to support Fashion Advisors with client data and client tools
- Liaise with divisional counterparts to unlock synergies and align on key initiatives and priorities
- Demonstrate expert-level knowledge of current client data tools (Salesforce, Looker) to pull with speed, and proactively identify and communicate process improvements to enhance efficiency and effectiveness of reporting and segmentation tools as needed
- Project manage the implementation of database and/or tool enhancements from concept to QA and final delivery in order to meet the evolving needs of business partners and team, collaborating closely with Tech to translate business requirements into actionable technical specifications
Qualifications:
- 7+ years experience in data analytics or strategy/business intelligence role
- Experience with Salesforce
- Experience with Looker Studio
- Prior professional experience collaborating with cross-functional partners to design and launch a new technical platform
- Familiarity with IT functions, including system architect and landscape
- Expertise in Excel and PowerPoint
- Ability to communicate ideas effectively to a range of audiences (written & verbal)
- Luxury retail and/or brand experience preferred
Please submit your resume for consideration.
You can use to collect and manage your references for free and share them with us or anyone else you choose. Candidates with references are always preferred by our clients. Now is the most important time to stand out from the crowd. We suggest that you ensure you have updated your LinkedIn profile and that you start collecting your references early.
About Cygnus Professionals, Inc.
Cygnus is a Princeton, NJ-headquartered global Business IT consulting and software Services firm with offices in the USA and Asia. Cygnus offers and enables innovation and helps our clients accelerate time to market & grow their business. Over 15 years, we have taken great pride in continuing our deep relationships with our clients.
For further information about CYGNUS, please visit our website Title: Data Architect
Location: Princeton, New Jersey – Onsite
W2 Contract
Job Summary
We are seeking an experienced Data Architect to design, build, and maintain scalable data architecture solutions supporting enterprise analytics, data integration, and digital transformation initiatives. The ideal candidate will work closely with business stakeholders, data engineers, and application teams to design robust data models, data pipelines, and enterprise data platforms that support advanced analytics and reporting.
Key Responsibilities
- Design and implement enterprise data architecture frameworks and best practices.
- Develop logical and physical data models for enterprise data platforms.
- Architect data lakes, data warehouses, and data integration solutions across cloud and on-prem environments.
- Collaborate with data engineers and application teams to build scalable data pipelines and ETL/ELT processes.
- Ensure data governance, data quality, security, and compliance standards are implemented across the data ecosystem.
- Evaluate and recommend data technologies, tools, and frameworks aligned with enterprise strategy.
- Provide architectural guidance for cloud-based data platforms (AWS/Azure/GCP).
- Optimize performance for large-scale data processing and analytics workloads.
- Support business intelligence, reporting, and advanced analytics initiatives.
Required Qualifications
- 10+ years of experience in data architecture, data engineering, or enterprise data management.
- Strong experience with data modeling (conceptual, logical, physical).
- Expertise with data warehouse and data lake architectures.
- Hands-on experience with ETL/ELT tools and data integration platforms.
- Experience with SQL and large-scale data platforms (Snowflake, Redshift, BigQuery, etc.).
- Experience working with cloud data platforms (AWS, Azure, or GCP).
- Strong understanding of data governance, data quality, and metadata management.
- Experience with big data technologies (Spark, Hadoop, Kafka) is a plus.
Preferred Skills
- Experience in Healthcare, Pharmaceutical, or Life Sciences domain.
- Knowledge of Master Data Management (MDM) and data catalog tools.
- Familiarity with BI tools such as Tableau, Power BI, or Looker.
- Strong communication skills to interact with business and technical teams.
Education
- Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
Cygnus Belief
We believe in our commitment to diversity & inclusion.
Equal Employment Opportunity Statement
Cygnus is an Equal Opportunity Employer. We ensure that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.
All our employment decisions are taken without looking into age, race, creed, color, religion, sex, nationality, disability status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other aspects of employment protected by federal, state, or local law. Applicants for employment in the US must have work authorization.
