Data Ops Builder: MVP to Production-Grade Gold Data

Cigna Healthcare; East Windsor Hill (CT); Hybrid; USD 102,000 - 171,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Tuition reimbursement

Paid time off

Paid holidays

Leaves of absence

Job summary

The Cigna Group is seeking a Data Builder for Data Management Strategy & Governance Advisor to translate designs into production-grade data products and collaborate with data architecture and analytics teams.

This hands-on individual contributor role emphasizes governance, AI acceleration, and scalable data assets delivered through MVP, with opportunities to contribute to enterprise data strategy and compliance in healthcare contexts.

Qualifications

• 3+ years building production-grade data solutions.
• A genuine 50/50 blend of business fluency and hands-on engineering.
• Hands-on experience with Databricks, Spark, Unity Catalog, SQL, and Python.
• Familiarity with Snowflake and Teradata in addition to a Databricks-first stack.
• Expert knowledge of dimensional and medallion (Silver / Gold) modeling within an enterprise-agnostic data model.
• Working knowledge of CI/CD pipelines, automated code evaluation, and controlled promotion to production.
• Strong software-engineering discipline — version control (Git), code review, and efficient, reusable code.
• Performance-tuning and cost-optimizing Spark and SQL transformations at scale.
• Familiarity with data governance and cataloging tooling such as Collibra.
• Automated data-quality testing and validation built into every solution.
• Demonstrated ability to learn a new data domain fast and turn business logic into reusable data products.
• Demonstrated ability to apply AI and automation to accelerate build while preserving quality and governance.
• Experience in complex, regulated enterprises preferred; healthcare or PBM data a plus.

Responsibilities

• 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 productionize — clearing quality, security, and cost checks on first pass.
• Apply AI and automation to accelerate build while preserving governance.
• 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 DevOps & 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 models, analyses, and decisions.
• Set the design and hold Data Operations standards across the Hyderabad Data Operations team and outside service partners as part of a global delivery model.

Skills

Databricks

Spark

Unity Catalog

SQL

Python

Snowflake

Teradata

Dimensional modeling

Medallion modeling

CI/CD

Git

Data governance

Data cataloging

Automated data quality

AI / automation

Healthcare data

Tools

Collibra

Job description

The Cigna Group is seeking a Data Builder for Data Management Strategy & Governance Advisor to translate designs into production-grade data products and collaborate with data architecture and analytics teams.

This hands-on individual contributor role emphasizes governance, AI acceleration, and scalable data assets delivered through MVP, with opportunities to contribute to enterprise data strategy and compliance in healthcare contexts.