Data Ops - Lead Data Builder

Cigna Health and Life Insurance Company; United States; Remote; USD 115,000 - 192,000; Full time

Job summary

Cigna Health and Life Insurance Company in the United States is seeking a Data Builder who translates architectural designs into production-grade data products through MVP, focusing on Silver models and Gold data assets. As a hands-on contributor, you will blend business fluency with engineering discipline, build trusted data products, and ensure they pass governance and CI/CD gates for enterprise use.

The role offers remote work within the United States, a competitive salary, and participation

Qualifications

• 7+ years building production-grade data solutions.
• Strong analytics engineering skills with business fluency.
• Hands-on with Databricks, Spark, SQL and Python.
• Familiarity with Snowflake and Teradata in a Databricks-first stack.
• Expert in Silver/Gold data modeling (dimensional/medallion).
• Experience with CI/CD pipelines and controlled promotion.
• Knowledge of data governance and cataloging tools like Collibra.
• Ability to apply AI and automation to accelerate builds.

Skills

Analytics engineering

SQL

Python

CI/CD pipelines

Git

Databricks

Spark

Unity Catalog

Data governance

AI & automation

Tools

Databricks

Spark

Unity Catalog

Snowflake

Teradata

Git

Job description

## Data Ops - Lead Data BuilderApply: Remote: United States Work at Home: Full time: Posted Today: 26012696The job profile for this position is **Data Management Strategy & Governance Senior Advisor** **Excited to grow your career?**We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!Our people make all the difference in our success.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.Key ResponsibilitiesRapid Build & Delivery* 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.Silver — Build to Architecture’s Design* 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.Gold — Democratized, Delivered Through MVP* 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.Engineering Discipline & Production Readiness* 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 and testing without bypassing governance, security, or quality expectations.Partnership & Collaboration* 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.What This Role Is Not* Not a pure data engineering or platform role.* Not the owner of the enterprise Silver model.* Not the primary business-engagement or requirements role.* Not the owner of the Gold layer, which is democratized across teams.* Not a governance policy, stewardship, or BI reporting role.* This role exists to **build real data solutions that get used** — designed for the business, engineered to last, delivered through MVP.Required Experience & Capabilities* **7+ years building production-grade data solutions**, with demonstrated depth in analytics engineering or equivalent business-plus-build work.* A genuine **50/50 blend of business fluency and hands-on engineering discipline**.* 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.Measures of Success* New data reaches a trusted, production-grade asset in a short cycle time.* Gold data products are delivered and reused across use cases, with democratized ownership held to a common build standard.* Silver builds implement architecture’s design faithfully and are handed off without loss of quality.* Solutions reach production through governed CI/CD pipelines, clearing quality, security, and cost gates on first pass.* Build acceleration through AI and automation is achieved without compromising governance, quality, or security controls. If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 115,200 - 192,000 USD / yearly, depending on relevant factors, including experience and geographic location.This role is also anticipated to be eligible to participate in an annual bonus plan.