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At MVP Health Care, we're on a mission to create a healthier future for everyone. That means embracing innovation, championing equity, and continuously improving how we serve our communities. Our team is powered by people who are curious, humble, and committed to making a difference-every interaction, every day. We've been putting people first for over 40 years, offering high-quality health plans across New York and Vermont and partnering with forward-thinking organizations to deliver more personalized, equitable, and accessible care. As a not-for-profit, we invest in what matters most: our customers, our communities, and our team.
What's in it for you:
- Growth opportunities to uplevel your career
- A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
- Competitive compensation and comprehensive benefits focused on well-being
- An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District, one of the Best Companies to Work For in New York, and an Inclusive Workplace.
You'll contribute to our humble pursuit of excellence by bringing curiosity to spark innovation, humility to collaborate as a team, and a deep commitment to being the difference for our customers. Your role will reflect our shared goal of enhancing health care delivery and building healthier, more vibrant communities.
The Sr. Quality Data Analyst will be responsible for leading and overseeing operational workflows within the Health Care Quality Analytics team. The ideal candidate will be accountable for ensuring the team delivers routine and ad hoc analyses and data visualizations to support MVP's health care quality functional area. The ideal candidate will have experience working with NCQA and CMS quality measures and HEDIS data to support improved health care outcomes and member satisfaction. They will also participate in automation efforts that create efficiencies and help to create a data-driven organization. The Sr. Quality Data Analyst will work with cross-functional teams, including business, technical, and Data Governance teams, to ensure the availability, accuracy, and reliability of data.
In alignment with MVP's core values, the Sr. Quality Data Analyst will be expected to demonstrate strong interpersonal and communication skills, promoting cooperation across organizational boundaries and encouraging groups to work together cooperatively. They will have strong analytical thinking skills, and a focus on continuously improving processes and reducing technical debt. Additionally, they will be self-motivated, with a sense of accountability and urgency in completing assignments.
Key Responsibilities:
- Lead and oversee the successful execution of operational workflows and health care quality data deliverables.
- Have experience working with HEDIS, Medicare Stars, and NYSDOH QARR measures data and a good understanding of health care quality measurement.
- Conduct analysis of large data sets to support health care quality improvement initiatives, including gap analysis, process optimization, and patient engagement.
- Collaborate with cross-functional teams to design, implement, and maintain data solutions that meet the needs of stakeholders and business partners.
- Ensure the accuracy and integrity of data through the development and implementation of data quality control processes and procedures.
- Provide training and mentorship to team members to promote growth and development.
- Participate in the development of data governance policies, standards, and procedures, and ensure compliance with regulatory requirements and industry best practices.
- Present data insights and recommendations to leadership, effectively communicating complex technical information to non-technical stakeholders.
- Continuously monitor and evaluate the effectiveness of operational workflows, making recommendations for improvements and leading implementation efforts as necessary.
Position Qualifications
Minimum Education
Bachelor's degree in a related field (e.g. Mathematics, Statistics, Computer Science, Epidemiology, or Healthcare) required; Master's degree preferred.
Minimum Experience
5+ years of experience in healthcare data analysis, with a strong focus on health care quality analytics and operations.
Experience leading teams and executing on operational workflows.
Required Skills
- Strong analytical skills, with the ability to turn data into actionable insights.
- Proficiency in SQL, Azure Databricks, data visualization tools (e.g. Tableau, PowerBI), and data manipulation tools (e.g. Alteryx, R, Python).
- Excellent verbal and written communication skills, with the ability to effectively communicate technical information to both technical and non-technical stakeholders.
- Ability to work independently and as part of a team, with strong project management skills and the ability to prioritize tasks effectively.
- Keen attention to detail.
- Subject matter expertise of healthcare industry quality metrics, Medicare Stars and HEDIS standards.
Pay Transparency
MVP Health Care is committed to providing competitive employee compensation and benefits packages. The base pay range provided for this role reflects our good faith compensation estimate at the time of posting. MVP adheres to pay transparency nondiscrimination principles. Specific employment offers and associated compensation will be extended individually based on several factors, including but not limited to geographic location; relevant experience, education, and training; and the nature of and demand for the role.
We do not request current or historical salary information from candidates.
$93,667.00-$124,576.75
MVP's Inclusion Statement
At MVP Health Care, we believe creating healthier communities begins with nurturing a healthy workplace. As an organization, we strive to create space for individuals from diverse backgrounds and all walks of life to have a voice and thrive. Our shared curiosity and connectedness make us stronger, and our unique perspectives are catalysts for creativity and collaboration.
MVP is an equal opportunity employer and recruits, employs, trains, compensates, and promotes without discrimination based on race, color, creed, national origin, citizenship, ethnicity, ancestry, sex, gender identity, gender expression, religion, age, marital status, personal appearance, sexual orientation, family responsibilities, familial status, physical or mental disability, handicapping condition, medical condition, pregnancy status, predisposing genetic characteristics or information, domestic violence victim status, political affiliation, military or veteran status, Vietnam-era or special disabled Veteran or other legally protected classifications.
To support a safe, drug-free workplace, pre-employment criminal background checks and drug testing are part of our hiring process. If you require accommodations during the application process due to a disability, please contact our Talent team at .
We Are Hiring: Databricks Lead Data Engineer – Director Equivalent Role
Location: Atlanta, USA
Work Model: Hybrid – 3 to 4 days in office per week (mandatory)
Eligibility: US Citizens and Green Card (GC) holders only
How to Apply
If you are interested in this position and have the required skills, please send across your resume at:
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Paves Technologies is seeking a highly experienced Databricks Lead Data Engineer – Lead Level (Director Equivalent Role) to drive enterprise-scale data architecture, governance, and advanced analytics initiatives on Azure Cloud. This is a senior leadership role requiring deep Databricks expertise, strong data modeling capabilities, and hands-on architectural ownership across PySpark based distributed systems.
Role Overview
The ideal candidate will bring 10-12 + years of overall data engineering experience, including strong hands-on expertise with Azure Databricks, PySpark, Python, and Azure Cloud data services. You will define architecture standards, lead modernization initiatives, and implement scalable Medallion Architecture (Bronze, Silver, Gold layers) to support enterprise analytics and business intelligence.
Key Responsibilities
- Lead end-to-end architecture and implementation of enterprise-scale data platforms using Azure Databricks on Azure Cloud.
- Design and implement Medallion Architecture (Bronze, Silver, Gold layers) using Delta Lake best practices.
- Build scalable PySpark-based ETL/ELT pipelines across ingestion (Bronze), transformation (Silver), and curated analytics (Gold) layers.
- Develop advanced data transformations using Python, PySpark, Spark SQL, and advanced SQL constructs.
- Architect robust data models (dimensional, star schema, normalized models) aligned to analytics and reporting needs.
- Drive adoption of advanced Databricks capabilities including Unity Catalog, Declarative Pipelines, Delta Lake optimization, and governance frameworks.
- Establish best practices for partitioning strategies, file compaction, Z-ordering, caching, broadcast joins, and query optimization.
- Define and standardize reusable Azure Cloud data platform tools, templates, CI/CD frameworks, and infrastructure automation.
- Work across Azure ecosystem components such as Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure DevOps, networking, and security services.
- Ensure high standards for data quality, RBAC, lineage tracking, governance, and production stability.
- Provide architectural leadership and mentorship to data engineering teams.
Required Experience & Skills
- 10–12+ years of overall experience in Data Engineering.
- Minimum 3+ years of strong hands-on Databricks experience.
- Mandatory Certifications:
- Databricks Certified Data Engineer Associate
- Databricks Certified Data Engineer Professional
- Deep hands-on expertise in PySpark, Python programming, and distributed Spark processing.
- Strong experience designing and implementing Medallion Architecture (Bronze/Silver/Gold layers).
- Advanced knowledge of Data Modeling, Data Analysis, and complex SQL (window functions, CTEs, execution plan tuning).
- Strong understanding of Delta Lake architecture, schema evolution, partition strategies, performance optimization, and data governance.
- Well-versed in enterprise Azure Cloud data platforms, reusable accelerators, CI/CD templates, and governance standards.
- Proven experience architecting scalable, secure, cloud-native data solutions.
- Strong leadership, stakeholder management, and executive communication skills.
How to Apply
If you are interested in this position and have the required skills, please send across your resume at:
; ;
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.
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Title- Sr. Azure Solutions Architect
Location- Dallas, TX- Onsite
Type- Fulltime
Job Description:
AgreeYa Solutions is hiring a permanent Senior Azure Solutions Architect to anchor our growing Azure practice. This is a high-impact, client-facing role that spans the full engagement lifecycle — from structured cloud readiness assessments and gap analysis through hands-on architecture design and implementation delivery.
The successful candidate will lead our Azure infrastructure engagements across multiple client accounts, beginning with a structured cloud readiness assessment and transitioning into ongoing architecture and delivery responsibilities as the practice grows. This role requires equal comfort operating as a trusted advisor, assessment lead, and delivery architect — adapting to the engagement phase and client context.
Responsibilities
1. Cloud Readiness Assessment & Advisory
Lead structured, evidence-based Azure cloud assessments aligned to Microsoft Cloud Adoption Framework (CAF) and Security-first SDLC principles:
Conduct current-state Azure tenant reviews across all platform domains: tenant topology, management group hierarchy, subscription structure, RBAC model, and policy framework.
Assess identity and access configurations including Microsoft Entra ID, Privileged Identity Management (PIM), Conditional Access policies, and GitHub/Azure DevOps RBAC.
Evaluate security posture using Microsoft Defender for Cloud, Zero Trust alignment, vulnerability management, and network exposure analysis (NSGs, firewall rules, public vs. private endpoints).
Perform regulatory compliance gap assessments against NYDFS Part 500, SOC2 Trust Services Criteria, and other applicable frameworks, producing risk-rated gap registers.
Review IaC and CI/CD maturity including Terraform state management, drift detection, pipeline health (Azure DevOps / GitHub Actions), and non-prod to prod promotion workflows.
Assess monitoring and observability stacks: Azure Monitor, Log Analytics, Application Insights, alert coverage, ITSM integration, and MTTD/MTTR benchmarking.
Evaluate backup and DR configurations, RTO/RPO alignment, recovery runbook completeness, and business continuity readiness.
Review FinOps maturity: cost governance, resource tagging, reserved instance utilization, and savings plan coverage.
Produce executive-ready deliverables: current state reports, gap registers, remediation roadmaps, Target Operating Models (TOM), and C-level presentation decks.
Define objective go-live entry criteria and identify critical blockers that materially increase breach, outage, or compliance exposure.
2. Azure Platform & Infrastructure Architecture
Design and govern Azure platform environments for client workloads with a Terraform-first, pipeline-driven approach:
Define and maintain reference architectures across all stack layers: identity (Entra ID / Auth0 / Okta CIC), application (App Service / AKS), PaaS (Key Vault, Front Door / WAF, API Management), networking, data, storage, and monitoring.
Architect isolated, per-environment landing zones (QA, Stage, Prod) including VNets, subnets, NSGs, Private Endpoints, and firewall rules enforcing least privilege and environment segmentation.
Lead the design of Terraform IaC modules and environment promotion patterns (QA → Stage → Prod), including remote state management, state isolation, and change control governance.
Partner with DevOps engineers to design Azure DevOps multi-stage YAML pipelines for infrastructure and application deployments, including approval gates, rollback strategies, and release tagging.
Architect highly available, secure, scalable, and cost-optimized solutions incorporating backup, disaster recovery, and business continuity strategies.
Define cloud security standards: network segmentation, Zero Trust architecture, WAF and DDoS protection, encryption, and key management.
Set observability standards: App Insights/Log Analytics workspaces, KQL-based alerting, dashboards, Sentinel workbooks, and WAF policy-as-code.
Translate business, compliance, and regulatory requirements (including NYDFS MFA and security mandates) into concrete Azure architecture decisions and technical guardrails.
3. Client Engagement & Delivery Leadership
Operate as a trusted technical advisor and delivery lead across client engagements:
Serve as the primary Azure technical point of contact for clients, including C-suite and senior technical stakeholders.
Lead architecture reviews, technical workshops, and go/no-go decision sessions with structured evidence and documentation.
Translate business and compliance requirements into actionable architecture decisions and phased remediation roadmaps.
Provide Level 2 architectural support during critical delivery windows including rollouts, environment rebuilds, production cutovers, and hypercare periods.
Document architecture decisions, diagrams, runbooks, and ensure these are reflected in implementation and quality gates.
Mentor and guide junior engineers and offshore team members, providing technical direction and code/configuration review.
Support structured MSP onboarding activities including RACI definition, responsibility demarcation, and takeover domain identification.
Required Qualifications
8+ years of hands-on experience designing and implementing solutions on Microsoft Azure, with at least 5 years in an architect or technical lead capacity.
Deep expertise across core Azure services including:
Compute: Azure Web Apps, App Service, Azure Kubernetes Service (AKS), Azure Functions
Networking: VNets, NSGs, Private Endpoints, Azure Front Door, WAF, VPN/ExpressRoute
Integration & API: Azure API Management, Service Bus, Event Grid
Data & Storage: Azure SQL, Cosmos DB, Storage Accounts (Blob, Queue, Table)
Security: Key Vault, Microsoft Defender for Cloud, Sentinel, Azure Policy
Identity: Entra ID (Azure AD), PIM, Conditional Access
Observability: Azure Monitor, Log Analytics, Application Insights, KQL
Proven experience architecting and governing Terraform-based infrastructure in Azure, including module design, remote state backends, environment isolation, and promotion workflows.
Strong background with Azure DevOps (Repos, Pipelines, Artifact Feeds) and CI/CD patterns for both application and infrastructure, including multi-stage YAML and environment approvals.
Demonstrated experience conducting structured cloud assessments, gap analyses, and producing risk-rated findings and remediation roadmaps aligned to frameworks such as Microsoft CAF, CIS, or NIST.
Solid understanding of identity and access management including Entra ID, OAuth/OIDC flows, MFA enforcement, RBAC, and CIAM solutions (Auth0 / Okta CIC).
Working knowledge of regulatory and compliance frameworks applicable to cloud environments, particularly NYDFS Part 500 and SOC2 Trust Services Criteria.
Strong knowledge of cloud security best practices: Zero Trust, network segmentation, WAF and DDoS, encryption, key management, and vulnerability management.
Experience defining monitoring, alerting, and observability strategies using Azure Monitor, Log Analytics, Application Insights, and SIEM tools such as Sentinel.
Excellent communication and documentation skills, with proven ability to produce executive-level presentations, architecture decision records, and go/no-go assessment reports.
Preferred Qualifications
Familiarity with FinOps practices including cost governance, resource tagging strategy, reserved instance analysis, and Azure cost management tooling.
Experience with ITSM integration and tooling including ServiceNow workflows (incident, change, problem management) in cloud-managed services contexts.
Knowledge of additional monitoring platforms such as ScienceLogic or similar enterprise observability tools.
Experience with database migration strategies and tools (Flyway, Liquibase) integrated into CI/CD for Azure SQL or Cosmos DB.
Background working in regulated or audit-focused industries (financial services, healthcare, insurance) with knowledge of evidence requirements for MFA enforcement, penetration testing, and environment parity.
Experience designing and reviewing Target Operating Models (TOM) for Managed Services onboarding and MSP readiness assessments.
Relevant certifications: Azure Solutions Architect Expert, Azure Administrator Associate, Azure DevOps Engineer Expert, or Security Engineer Associate.
Familiarity with Microsoft Cloud Adoption Framework (CAF) landing zone patterns and Well-Architected Framework review methodology.
Duration: 12+ Months (Contract with possible extension)
Work Hours: 8a-5p (Possibly some overtime)
Job Description:
- Partially Onsite (Typical onsite Tues/Thurs, remote M,W,F).
- Required Skills: PowerBI, Tableau, SQL, MS Access, MS Excel Nice to Have: GIT, Python
- Day To Day: This person will be developing new tools that support the business of I/S. They will be meeting with customers to understand the business needs and gather requirements, propose a solution, develop the needed solution, test, present to customers, communicate the new tool to the business including training and presenting, maintenance tools as needed. We build dashboards, models, and reporting tools for our customers.
- Soft Skills This person will need to be able to clearly communicate (written and verbally) with all levels of management. They will need to be able to understand processes, data logic, business logic, and be able to put requirements into written form. They will need to be able to connect the dots between processes and understand the big picture. They will need to be critical thinkers and problem solvers. They will need to be curious and take initiative to dig into things. They will need to be team oriented and willing to work with the team following the correct procedures. They need to be willing to listen.
- Team: With this position, we will be a team of 8. Half are part of developing new tools and reports and the other half work on the recurring reporting. They still work together a lot because some of the recurring work is being replaced by tools/dashboards that the development side is building. The team really likes collaborating with each other to complete the work. We have a lot of big projects happening this year and they are high focus for the business. We are shifting the way we provide information to management so that it is more real-time and self-serve.
Responsibilities:
- Creates and analyzes reports to support operations. Ensures correctness of analysis, and reports findings in a concise manner to senior management. Directly responsible for accuracy of data as financial and operational decisions are made based on the data provided. Generates internal and external reports to support management in determining productivity and efficiencies of programs or operational processes. Revises existing reports and develops new reports based on changing methodologies.
- Analyzes reports to ensure accuracy and quality. Tracks and verifies all reporting statistics. Communicates and trains employees and managers on the complex database programs used to generate analytical data. Designs, codes, and maintains complex database programs for the extraction and analysis of data to support financial and operational decisions.
Experience:
- 4 Years Research and analysis experience.
Skills:
- Strong organizational, customer service, communications, and analytical skills. Advanced experience using complex mathematical calculations and understand mathematical and statistical concepts. Knowledge of relevant computer support systems. Ability to train subordinate staff including provide assistance/guidance to staff in design/execution of reporting needs. Proven experience with report writing and technical requirements analysis, data and business process modeling/mapping, and methodology development. Strong understanding of relational database structures, theories, principles, and practices.
- Required Software and Other Tools: Advanced knowledge of Microsoft Office. Knowledge of programming languages across various software platforms, using DB2, SQL, and/or relational databases. Knowledge of tools such as Visual Basic and Macros useful in automating reporting processes. Preferred Skills and Abilities: Computer programming skills. Negotiation or persuasion skills. Knowledge of ICD9/CPT4 coding. Knowledge of the healthcare delivery system. Preferred Software and Other Tools: SAS experience. Work environment: Typical office environment. Some travel between buildings and out of town.
Education:
- Bachelor's degree in Statistics, Computer Science, Mathematics, Business, Healthcare, or other related field. Degree Equivalency: 2-year degree in Computer Science, Business or related field and 2 years of reporting and data analysis work experience.
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Recruiter's detail:
Name: Vivek Kumar
Email:
internal ID: 26-05907
Duration: 12 Months
Job Description:
Experience Level: Senior, 10-15 Years of Experience in SAP Reporting Platforms
Must have: BW, BI, Datasphere and SAC
Good To Have: Experience converting from On-Prem to Cloud Data Products, SAC Planning, BDC
Desired Profile: Very Strong in Core SAP Data Products - BW, BI, Datasphere, SAC
- Experience In Data Modeling and Creating Data Products
- Good To Have Experience with SAC Planning and SAP Business Data Cloud
- Very Good Communication Skills.
- Very Good Analytical Skills and Problem-Solving Ability a Must.
- Knowledge Of Agile Development Methodology is a Plus.
- Must Be Capable of Doing Code Reviews and Mentoring the Junior Developers to Drive Towards High Quality Deliverables.
- Strong Background Culture of Delivering Projects with First Time Right / Zero Defects in Production.
About USTech Solutions:
\"US Tech Solutions 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, or status as a protected veteran.\"
Recruiter Details:
Name: Rajeev
Email:
Internal Job ID: 26-06170
*Must be US Citizen or Green Card Holder
We are seeking an experienced Data Science Manager to lead a high-impact team focused on developing and deploying machine learning solutions within a large-scale healthcare technology environment.
This role combines technical leadership, hands-on data science expertise, and strategic collaboration to drive innovation across analytics and AI initiatives. The ideal candidate will be a player-coach, capable of leading a team while remaining engaged in solution design and development.
Key Responsibilities
- Lead, mentor, and develop a team of data scientists, fostering a collaborative and high-performing environment
- Oversee the full data science lifecycle, including problem definition, data exploration, model development, validation, and production deployment
- Design and guide the development of machine learning and statistical models that drive business value
- Translate complex business requirements into scalable, data-driven solutions
- Partner closely with Product, Engineering, and business stakeholders to align on priorities and deliver impactful outcomes
- Establish and promote best practices in data science, machine learning, and model lifecycle management
- Communicate technical concepts and insights effectively to non-technical audiences
- Contribute to strategic planning and roadmap development for data and AI initiatives
- Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
- 8+ years of experience in data science, analytics, or machine learning development
- 5+ years of experience managing or leading data science or analytics teams
- Strong hands-on experience building and deploying production-grade machine learning models
- Experience working within Agile or modern software development environments
- Deep understanding of machine learning methodologies, statistical modeling, and data architecture
- Proven ability to collaborate cross-functionally and influence stakeholders
- Experience working with healthcare data or healthcare technology platforms
- Experience building or scaling a data science or AI team
- Advanced degree (Master's or PhD) in a related field
- Experience driving AI/ML initiatives that support decision-making or recommendation systems
- This is a remote position (US-based candidates only)
Role: Principal AI Solution Architect
Location: Houston, TX, 77086 - Onsite
Duration: Long term Contract
Job Description:
Key Responsibilities:
- Partner with business and technical stakeholders to identify and implement agentic AI and machine learning solutions that improve decision making, workflows, and automation
- Design and implement cloud native AI architectures using Microsoft Azure services and established AI design patterns
- Collaborate with Data Scientists and other AI Engineers to transform prototypes into production ready, scalable solutions
- Build, deploy, and operate enterprise scale machine learning pipelines, emphasizing reliability, performance, and security
- Orchestrate and configure infrastructure that enables low latency, resilient AI workloads, leveraging infrastructure as code and automation
- Contribute to reusable accelerators, templates, and patterns that improve delivery speed and consistency across teams
- Support CI/CD, monitoring, and operational practices for AI and ML systems in production environments
Required Technical Skills:
- Strong experience with Microsoft Azure, including AI/ML services and cloud native architectures
- Hands on experience deploying and operating ML pipelines using Azure Machine Learning
- Proficiency in Python and modern software engineering practices
- Experience with automation and configuration management, including Ansible
- Solid understanding of MLOps, model lifecycle management, and CI/CD for AI systems
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Working knowledge of security, identity, and access control in enterprise cloud environments
Preferred Skills:
- Experience with Microsoft Foundry
- Experience implementing or operating agentic AI systems
- Familiarity with data engineering tools such as Databricks, Spark, Azure Data Factory
- Experience integrating AI services (e.g., cognitive services, computer vision, unstructured data processing)
Experience Requirements:
- 5+ years of experience in software engineering, AI engineering, or machine learning engineering roles
- Proven experience delivering production AI or ML solutions in a cloud environment
- Experience collaborating with cross functional teams across data science, engineering, and architecture
Ways of Working:
- Ability to work independently as a contractor while integrating effectively with existing teams
- Strong communication skills, with the ability to explain complex technical concepts clearly
- Results oriented mindset with a focus on delivering business value quickly and reliably.
JOB DESCRIPTION
Job Title: IT Solution Architect – Supply Chain & Finance
Location: Remote (Candidates local to Corning, NY or Charlotte, NC preferred) (W2 Contract)
Work Hours: Full-time, Monday–Friday, 8:00 AM – 5:00 PM (EST)
Duration: 1 Year Contract (Extension Possible)
Travel: Up to 25% travel to Corning, NY (approx. one week/month based on project needs)
Interview Process: Phone followed by video round
Position Summary
The IT Solution Architect for Supply Chain and Finance is responsible for designing, developing, and guiding implementation of enterprise technology solutions supporting financial and supply chain processes.
This role collaborates with business stakeholders and cross-functional IT teams to ensure solutions are scalable, secure, and aligned with organizational strategy. The architect drives operational excellence by shaping solution roadmaps, maintaining platform integrity, and enabling continuous improvement across finance and supply chain applications.
Key Responsibilities
Solution Architecture & Design
- Develop end-to-end architectural designs aligned with business objectives.
- Assess existing applications and recommend modernization and integration strategies.
- Ensure compliance with security, data governance, and enterprise architecture standards.
Business Partnership & Collaboration
- Work closely with Finance, Supply Chain, and IT stakeholders to translate business needs into technical solutions.
- Participate in cFIN review sessions and architecture discussions.
- Provide subject matter expertise on financial systems including OneStream and related platforms.
Technical Leadership & Support
- Act as technical lead for implementations, enhancements, and integrations.
- Resolve escalated issues and perform root-cause analysis.
- Partner with engineering and operations teams to ensure system resilience and performance.
Governance, Standards & Documentation
- Contribute to architecture standards and best practices.
- Maintain architectural documentation, roadmaps, diagrams, and integration models.
Continuous Improvement & Innovation
- Evaluate emerging technologies for automation and efficiency improvements.
- Support modernization initiatives aligned with digital transformation goals.
Required Qualifications
- Bachelor’s degree in IT, Computer Science, Engineering, or related field.
- 5+ years of experience as a Solution Architect with financial systems.
- Proven experience architecting solutions in enterprise finance and/or supply chain environments.
- Deep knowledge of financial platforms such as:
- OneStream
- SAP cFIN (Central Finance)
- Similar enterprise finance platforms
- Familiarity with SAP finance and supply chain modules.
- Strong understanding of integrations, data flows, and enterprise ecosystems.
- Ability to communicate complex technical concepts to business stakeholders.
Key Competencies
- Strategic Thinking
- Technical Architecture Expertise
- Communication & Stakeholder Influence
- Problem Solving
- Execution & Delivery Management
Preferred Qualifications
- Experience in global, matrixed organizations.
- Knowledge of data governance and security protocols.
- Experience leading architecture workshops and stakeholder sessions.
Overview
We are seeking a Data Center MEP Engineer (Mechanical, Electrical, and Plumbing) to provide exceptional design and project management services for data center projects. The ideal candidate will lead internal design teams, work in a client-facing project management position, and manage various projects from concept to completion. This role is critical for ensuring that the data center’s infrastructure is designed to meet the demands of its operations while also being energy-efficient and environmentally friendly.
Employment is project based on the estimated project duration of one year. Extension is possible, although not guaranteed. This is hourly exempt and benefits eligible, including full Medical, Dental, Vision, 401K, Life, Education opportunities, and more.
Key Responsibilities
- Lead design, integration, and delivery of MEP systems (HVAC, UPS, generators, cooling, CDUs, BMS, fire protection) across high-density mission-critical environments.
- Manage both internal and external stakeholders, ensuring design scalability, while ensuring safety requirements are met.
- Drive performance optimization, reliability, and compliance with IEC, IEEE, NFPA, and ASHRAE standards.
- Define HVAC technical requirements and coordinate with other teams.
- Develop office design standards for Data Center and Mission Critical sectors.
- Collaborate across disciplines to create integrated technical solutions.
- Coordinate with Energy Modeling teams to optimize energy efficiency and carbon reduction.
- Serve as client-facing representative on behalf of JB&B and Trinity to offer additional support, leading project with a solutions-based mindset.
Requirements
- Bachelor's Degree in Mechanical Engineering or Electrical Engineering required.
- Data Center experience required.
- 5 years of experience in facility design and construction environments.
- Experience in design, construction, and commissioning of data center HVAC systems.
- Professional Engineering (PE) license preferred.
- Strong knowledge of liquid-cooling systems and energy efficiency metrics (PUE/WUE).
