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Sr Analyst, Analytics, Data Engineering
to assist the agency in the development and management of data-processing initiatives supporting a variety of clients.
The successful candidate will be able to design workflows that encapsulate various acquisition, hygiene, and transformative requirements while supporting automation and scalability.
Developing a high degree of familiarity and expertise with our client’s data is a marker of success.
The successful candidate will be able to effectively communicate with business stakeholders who will present business requirements: the technical design and implementation of solutions that resolve these business-focused requirements is a key measure of the candidate's value.
Locations: Sussex, WI
or Chicago, IL – 4 days in office
Key Responsibilities:
•
Build data processing workflows to support analytic initiatives across MSSS and Snowflake platforms utilizing T-SQL, Python, Pyspark, Alteryx.
Understand the merits of the various toolsets for any given solution.
•
Take business-focused direction from key stakeholders and translate, design, and implement those requirements onto the appropriate technology platforms available to the team.
•
Perform ETL/hygiene on disparate data from a variety of sources.
Integrate that data into a variety of platforms.
•
Build complex SQL queries to resolve analytic-focused requests.
•
Understand/Implement performance-tuning of processes.
•
Create complex data models supporting specific analytic consumption in SQL Server and/or Snowflake.
•
Be able to use a combination of various tools to develop integrated systems in support of recurring analytic processes.
•
Regularly identify opportunities for internal process enhancement.
•
Extract insights from data and provide recommendations to improve our clients’ marketing efforts.
•
Ability to evaluate various programmatic tools/approaches to determine the best platform.
•
Interface with clients to understand their needs and subsequently design/manage/build accurate solutions.
•
Implement vigilant process/results auditing to ensure QC.
Job Requirements:
Education:
BA/BS in Programming, Engineering, or other quantitative fields.
Experience:
2-4 Years Programming experience using MS SQL.
Additional skills in Alteryx, Python, PySpark/Snowpark are highly valued
Experience with media or marketing campaigns either from client-side work or agency-side experience a plus.
Knowledge, Skills & Abilities:
•
Familiarity interfacing with cloud-based data sources such as Snowflake, S3, Redshift.
•
Collaborative problem-solving mindset
•
Intellectually curious, resourceful, with business savvy
•
Clear and concise communication skills
Employees can be expected to be paid an annualized salary range of $65,000-$75,000, based on variations in knowledge, skills, experience and market conditions.
#LI-DP1
We’re proud to be where the pets go and where the pet people go. If you want to make a real difference, create an exciting career path, feel welcome to be your whole self and nurture your wellbeing, Petco is the place for you.
Our core values capture that spirit as we work to improve lives by doing what’s right for pets and people.
- Pet First – Protect & Empower. All pets should Live their Best Life. We put the needs of pets and pet parents at the center of everything we do.
- Foster the Fun – Connect & Bond. Our Passion for pets brings us together! We celebrate the journey of pet parenthood through district experiences, products, and services.
- Let’s Go! Own & Commit. We are stronger as One Petco team. We bring our unique superpowers and champion authenticity in everyone to drive success.
We’re proud to be "where the pets go" to find everything they need to live their best lives for more than 60 years — from their favorite meals and toys, to trusted supplies and expert support from people who get it, because we live it. We believe in the universal truths of pet parenthood — the boundless boops, missing slippers, late night zoomies and everything in between. And we’re here for it. Every tail wag, every vet visit, every step of the way. We are 29,000+ strong and together we nurture the pet-human bond in more than 1,500 Petco stores across the U.S., Mexico and Puerto Rico, 250+ Vetco Total Care hospitals, hundreds of preventive care clinics and eight distribution centers. In 1999, we founded Petco Love. Together, we support thousands of local animal welfare groups nationwide and have helped find homes for approximately 7 million animals through in-store adoption events.
Membership, Customer Data & Loyalty
Position Overview
The Senior Digital Product Manager will lead digital product initiatives supporting Membership, Customer Data, and Loyalty programs for a $6B specialty retail organization. Will own the end-to-end product strategy and roadmap for customer identity, data platforms, and loyalty experiences across digital and in-store channels.
The ideal candidate brings deep expertise in customer data platforms (CDPs), identity resolution, loyalty ecosystems, personalization, and privacy governance, combined with strong business acumen and cross-functional leadership skills.
Key Responsibilities
Product Strategy & Vision
- Define and execute the multi-year product strategy for Membership, Customer Data, and Loyalty platforms.
- Develop and maintain a prioritized product roadmap aligned with enterprise growth, retention, and customer lifetime value (CLV) objectives.
- Identify opportunities to leverage customer data to drive personalization, engagement, and revenue growth.
- Lead development and optimization of customer data capabilities, including:
- Identity resolution and profile unification
- Data governance and compliance (GDPR, CCPA, etc.)
- Segmentation and audience management
- Real-time personalization enablement
- Partner with Engineering and Data teams to evolve CDP, CRM, and marketing technology stacks.
- Ensure scalable architecture to support omnichannel retail environments.
- Own digital product capabilities supporting loyalty enrollment, rewards management, tiering, promotions, and engagement campaigns.
- Optimize customer lifecycle journeys from acquisition through retention.
- Develop features that enhance member value proposition and drive repeat purchase behavior.
- Measure and improve loyalty program ROI, retention rate, and lifetime value.
- Lead agile product teams and collaborate closely with:
- Engineering
- Data Science & Analytics
- Marketing & CRM
- eCommerce
- Store Operations
- Finance & Legal
- Serve as the voice of the customer and translate business objectives into clear product requirements.
- Align stakeholders around KPIs and measurable outcomes.
- Define success metrics and KPIs (CLV, retention, engagement, incremental revenue, NPS).
- Use data and experimentation (A/B testing, cohort analysis) to drive product decisions.
- Build executive-level reporting and business cases for investment prioritization.
- 5+ years of product management experience, with 3+ years in digital product leadership.
- Deep expertise in customer data management, CDPs, CRM systems, and loyalty platforms.
- Experience in retail, specialty retail, consumer brands, or omnichannel environments.
- Proven track record of delivering data-driven personalization initiatives.
- Strong understanding of privacy regulations and data governance frameworks.
- Experience leading agile product teams and influencing cross-functional stakeholders.
- Demonstrated ability to manage complex platform integrations and enterprise-scale systems.
- Experience working in a multi-billion-dollar retail organization.
- Background in subscription or membership-based business models.
- Familiarity with leading CDP and CRM ecosystems (e.g., Salesforce, Adobe, Tealium, etc.).
- MBA or advanced degree in business, technology, or related field.
- Strategic thinker with strong commercial acumen
- Data-driven decision maker
- Influential communicator with executive presence
- Customer-obsessed mindset
- Bias for action and measurable impact
- Ability to operate in fast-paced, matrixed organizations
This role directly influences customer retention, personalization maturity, and revenue growth by shaping how the organization leverages its customer data assets. The Senior Digital Product Manager will play a critical role in strengthening membership value, loyalty engagement, and long-term customer relationships.
#CORP
Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
The pay ranges outlined below are presented in accordance with state-specific regulations. These ranges may differ in other areas and could be subject to variation based on regulatory minimum wage requirements. Actual pay rates will depend on factors such as position, location, level of experience, and applicable state or local minimum wage laws. If the regulatory minimum wage exceeds the minimum indicated in the pay range below, the regulatory minimum wage will be the minimum rate applied.
Salary Range: $103,800.00 - $155,700.00
Hourly or Salary Range will be reflected above. For a more detailed overview of Petco Total Rewards, including health and financial benefits, 401K, incentives, and PTO - see Animal Supplies, Inc. 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, protected veteran status, or any other protected classification.
To translate this webpage to Spanish or other languages on your internet browser, click the translate button to the right of your browser address bar. Additional instructions can be found here: Google Chrome Help .
Para traducir esta página web al español u otros idiomas en su navegador de Internet, haga clic en el botón de traducción a la derecha de la barra de direcciones de su navegador. Puede encontrar instrucciones adicionales aquí: Google Chrome Ayuda.
Job Description
Must Have Technical/Functional Skills
• Extensive experience with cloud platforms (AWS, Azure, GCP) and hybrid environments.
• Deep knowledge of data center technologies, including networking, storage, virtualization, and server infrastructure.
• Hands-on experience with automation tools, orchestration, and monitoring solutions.
• Strong understanding of security, compliance, and disaster recovery frameworks.
• Deep knowledge of cloud platforms (AWS, Azure, GCP) including IaaS, PaaS, and hybrid cloud architectures.
• Strong understanding of data center technologies: networking, storage, virtualization, compute, and server infrastructure.
• Hands-on experience with cloud migration, integration, and hybrid cloud strategies.
• Expertise in disaster recovery, high availability, and business continuity planning.
• Proven experience in leading technical teams and mentoring engineers.
• Ability to define, implement, and execute infrastructure strategies aligned with business goals.
• Capability to influence and guide senior stakeholders on technical decisions.
• Experience managing large-scale data center operations and cloud infrastructure.
• Knowledge of ITIL, operational best practices, and incident/problem management.
• Awareness of compliance, regulatory, and security standards (ISO, SOC, GDPR).
• Excellent verbal and written communication skills to interact with technical and non-technical stakeholders.
• Strong collaboration skills for working with cross-functional teams including architects, project managers, and vendors.
Good to Have
• Experience with Infrastructure-as-Code tools (Terraform, Ansible, CloudFormation).
• Scripting skills in Python, PowerShell, or Bash for automating operational tasks.
• Exposure to AI/ML workloads in cloud environments.
• Familiarity with edge computing or hyperconverged infrastructure solutions.
• Experience in managing large-scale infrastructure projects, including budgeting and resource planning.
• Knowledge of Agile/DevOps methodologies applied to infrastructure teams.
Roles & Responsibilities
• Highly experienced professional with over 10 years in leadership roles, specializing as a Subject Matter Expert (SME) in Cloud and Data Centre technologies. The role is responsible for defining and overseeing cloud infrastructure strategies,
managing data center operations, and providing expert technical guidance to ensure optimized, scalable, and secure solutions. This individual will act as the technical authority, driving innovation, operational excellence, and strategic alignment across cloud and data center initiatives.
• Define and implement cloud and data center strategies aligned with organizational goals.
• Drive innovation in infrastructure design, deployment, and operational efficiency.
• Evaluate emerging cloud technologies and recommend adoption strategies.
• Serve as the Subject Matter Expert for cloud platforms (AWS, Azure, GCP, or private cloud) and on-premises data center technologies
• Provide technical guidance to teams on architecture, deployment, and operational best practices.
• Lead complex troubleshooting, performance tuning, and capacity planning initiatives.
• Oversee day-to-day operations of data centers, including monitoring, maintenance, and incident management.
• Ensure high availability, disaster recovery, and business continuity plans are robust and tested..
• Manage vendor relationships and service contracts for critical infrastructure components.
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.
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.
Job Description:
Job Title: Data Analyst
Duration : 06+ months contract to hire
Location :Remote
Additional qualities to look for: Healthcare background is a plus
SQL, SSIS, SSRS, Active Batch, Control M, SQL Server
Strong Data Analysis, Data Validation, ETL
May include:
- Financial, pharmacy, claims, provider, and member data IRS, CMS, HHSC, HEDIS reporting
- Internal data cleansing and data reconciliation analysis
- Trend analysis in various functional areas of health care management
- Create and generate reports through MS-Excel, MS-Access, and SQL using Business Objects interface and direct links to core databases (ODS/EDW)
- Produce reports for and interface with senior management and internal and external stakeholders
- Gather and interpret business requirements and monitor data trends to proactively identify issues
- Execute data changes and update core systems as needed
- Handle multiple projects and timelines effectively and communicate risks and issues to manager regularly
- Assist with training lower level Data Analysts
- Performs other duties as assigned
- Complies with all policies and standards
Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.
Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more.
Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status
It's also one of the most fixable—because interview performance is rarely about intelligence.
It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test.
Many candidates learn coding, but they don't learn how to present their skills under pressure.
SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework.
Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers—companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and many more—with offers often ranging from $95,000 to $154,000 depending on role and skill depth.
The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear.
Why do people fail interviews after doing CS or online courses? Typically it's one (or several) of these gaps: Weak fundamentals (you know syntax, but not the "why”) Poor project explanation (you built something, but can't defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on—like a sport.
You don't just watch videos; you practice real drills.
We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work.
What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer.
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI—because companies hire teams, not single-skill candidates.
Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path.
SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes).
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Form (Get Started): If you're already getting interviews, you're closer than you think.
Now it's time to train like you mean it—and turn interviews into offers.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
It's also one of the most fixable—because interview performance is rarely about intelligence.
It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test.
Many candidates learn coding, but they don't learn how to present their skills under pressure.
SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework.
Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers—companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client, and many more—with offers often ranging from $95,000 to $154,000 depending on role and skill depth.
The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear.
Why do people fail interviews after doing CS or online courses? Typically it's one (or several) of these gaps: Weak fundamentals (you know syntax, but not the "why”) Poor project explanation (you built something, but can't defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on—like a sport.
You don't just watch videos; you practice real drills.
We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work.
What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer.
In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI—because companies hire teams, not single-skill candidates.
Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path.
SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes).
If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Contact Form (Get Started): If you're already getting interviews, you're closer than you think.
Now it's time to train like you mean it—and turn interviews into offers.
Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also.
Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Duration: 6+ months
Location: 100% Remote
Job Overview
The Marketplace Data Product Engineer serves as the primary technical facilitator, and adoption champion for the Marketplace platform. This role bridges engineering, product, and business domains - leading workshops, demos, onboarding sessions, and cross?domain engagements to accelerate Marketplace adoption. You will configure demo environments, support development, translate complex technical concepts for business audiences, gather product feedback, and partner closely with product and engineering teams to shape the Marketplace roadmap. This will guide domains through the process of understanding, showcasing, and maturing their data products within the ecosystem.
Key Responsibilities
- Facilitate workshops, demos, onboarding sessions, and cross?domain engagements to drive Marketplace adoption.
- Serve as the primary technical presenter of the Marketplace for domain teams and stakeholders.
- Engage with domain owners to understand their data products, help refine their articulation, and showcase how they integrate into the Marketplace ecosystem.
- Configure and maintain demo environments for Marketplace capabilities, data products, and new features.
- Support light development, proof?of?concept configurations, and sample integrations to demonstrate platform capabilities.
- Translate technical Marketplace concepts into clear, business?friendly language for non?technical audiences.
- Collect structured feedback from domain teams, synthesize insights, and partner with product and engineering to influence the roadmap.
- Develop and refine training materials, demos, playbooks, and onboarding assets to support continuous adoption.
- Act as an advocate for domains, ensuring their data product needs and challenges are well represented in Marketplace planning.
- Support ongoing adoption initiatives, including community sessions, office hours, and cross?domain knowledge sharing.
Required Skills & Qualifications
- 4-7+ years of experience in data engineering, platform engineering, solution engineering, technical consulting, or similar roles.
- Strong understanding of data products, data modeling concepts, data APIs, enterprise integrations and metadata?driven architectures.
- Ability to configure and demonstrate platform features, build light proofs?of?concept, and support technical onboarding.
- Excellent communication and presentation skills, with experience translating technical concepts for business partners.
- Experience facilitating workshops, leading demos, or driving customer/product adoption initiatives.
- Ability to engage domain teams, understand their data product needs, and help articulate value within a larger ecosystem.
- Strong collaboration and stakeholder management skills across engineering, product, and business teams.
- Comfortable working in fast?moving environments and driving clarity through ambiguity.
Preferred Qualifications
- Experience with data product and governance frameworks, data marketplaces, data mesh concepts, or platform adoption roles.
- Hands?on experience with cloud data platforms (Azure, AWS, or GCP), data pipelines, or integration tooling.
- Familiarity with REST/GraphQL APIs, event-driven patterns, and data ingestion workflows.
- Background in solution architecture, customer engineering, or sales engineering.
- Experience developing demo environments, sample apps, or repeatable platform enablement assets.
- Strong storytelling ability when explaining data product value, domain capabilities, and Marketplace patterns.
Job Description Summary
We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. In this role, you will be instrumental in designing, building, and maintaining robust and scalable data pipelines and solutions within the Microsoft Azure ecosystem. You will be responsible for developing and optimizing ETL/ELT processes, ensuring data quality, and enabling efficient data access for analytics and business intelligence. We are looking for a hands-on engineer who thrives in a fast-paced environment and is passionate about leveraging cutting-edge technologies
Key Responsibilities:
Design, develop, and maintain cloud-based data pipelines and ETL/ELT workflows.
Build and optimize data architectures to support structured and unstructured data processing.
Collaborate with data analysts, data scientists, and business stakeholders to understand data needs.
Implement data quality, security, and governance best practices.
Monitor and troubleshoot data workflows to ensure high availability and performance.
Optimize database and data storage solutions for performance and cost efficiency.
Contribute to cloud adoption, migration, and modernization initiatives.
Mandatory Skills:
Strong expertise with Azure cloud platform.
Strong experience in Databricks
Azure Data Factory proficiency required; building datasets, data flows, and pipelines in ADF (not just maintaining something already built)
Hands-on experience with ETL/ELT tools and frameworks.
Proficiency in SQL, Python, and data modeling.
Knowledge of CI/CD pipelines and infrastructure-as-code tools.
Understanding of data governance, security, and compliance.
Preferred Skills:
Exposure to API integration and microservices architecture.
Strong analytical and problem-solving skills.
Azure cloud certifications and/or past experience
AKS (Azure Kubernetes Service) experience, and ETL related to applications containerized & deployed on AKS (or EKS)
