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Data Ops - Lead Data Builder
Job in
West Hartford, Hartford County, Connecticut, 06107, USA
Listed on 2026-11-01
Listing for:
Cigna Healthcare
Full Time
position Listed on 2026-11-01
Job specializations:
-
Software Development
Data Engineering
Job Description & How to Apply Below
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Job Description- The Data Builder is the hands-on builder responsible for turning architectural design and business requirements into trusted, reusable data products through MVP that are production grade. Reporting to the Senior Director, Data Operations & Data Management, this role builds to the enterprise-agnostic Silver foundation designed by Data Architecture and co-designs and builds Gold data products where business logic, metrics, and functional knowledge live.
- This is a hands-on individual contributor role — the build authority that blends business fluency and data engineering discipline in equal measure , authoring Gold data products that answer the question the first time and building them to production standard.
- This role is a critical execution counterpart to Data Architecture and Data Analysis, Products & Integration , building faithfully against their designs and requirements and compressing the path from new data to a production-grade, reusable asset. It is an exciting opportunity to join the team transforming how Cigna builds and reuses data — delivered through MVP.
- Build architecture’s designs and analysis’s requirements into production-ready solutions through MVP.
- Work new and unfamiliar data quickly into a working solution that answers the business question at hand.
- Refactor learning-stage and bespoke work into durable, reusable, production-ready assets.
- Build the physical Silver structures to the enterprise-agnostic Silver model and reference patterns designed by Data Architecture.
- Implement the design faithfully and promote it to production through governed CI/CD pipelines .
- Capture business context and metadata at build, and hand off to trusted partner teams as readiness allows.
- Treat the Gold layer as democratized — Data Operations may own specific Gold assets and assists other teams in building theirs.
- Deliver Gold solutions through build-through-MVP , promoted to production-grade through governed CI/CD pipelines regardless of owner.
- Uphold the build standards and guardrails any Gold solution must meet, so a federated Gold layer stays stable and production-grade across owning teams.
- Build to production standards from day one so the lift from MVP to production is simple, not a rebuild.
- Apply consistent development patterns, naming conventions, and build standards with specific focus on the connectivity across all data products to create a more connected data ecosystem.
- Move work through the CI/CD pipeline — develop, test, and product ionize — clearing quality, security, and cost checks on first pass.
- Apply AI and automation to accelerate build and testing without bypassing governance, security, or quality expectations.
- Partner with Data Architecture — building to their Silver design and co-designing Gold within the standards they set.
- Partner with Data Analysis, Products & Integration — who bring the requirements, business rules, and acceptance criteria this role builds against.
- Partner with Platform Engineering / IT and Dev Ops & AI Enablement — who own ingestion, pipelines, and the automation frameworks this role builds on.
- Partner with data science and business analytics teams so Gold data products serve their…
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