Data Ops - Lead Data Builder

Cigna Healthcare•Connecticut Work at Home, CT

23h•$115,200 - $192,000

About The Position

The Data Builder is a hands-on individual contributor who turns architectural designs and business requirements into trusted, reusable, production-grade data products through MVP. The role builds the enterprise-agnostic Silver foundation designed by Data Architecture and co-designs and builds Gold data products containing business logic, metrics, and functional knowledge. It combines business fluency with data engineering discipline and serves as an execution partner to Data Architecture and Data Analysis, Products & Integration. The role builds and promotes Silver structures in line with architecture designs and reference patterns, and delivers Gold solutions through governed CI/CD pipelines while maintaining shared build standards across a democratized Gold layer. It works with platform, DevOps, AI enablement, data science, analytics, business, and partner teams to accelerate delivery while preserving production, governance, security, quality, and cost standards. The role also sets design and operational standards across the Hyderabad Data Operations team and external service partners as part of a global delivery model. The position reports to the Senior Director, Data Operations & Data Management. The anticipated annual salary is $115,200–$192,000, depending on relevant factors such as experience and geographic location, and the role is anticipated to be eligible for an annual bonus plan. Occasional or permanent work from home requires cable broadband or fiber internet with at least 10 Mbps download and 5 Mbps upload.

Requirements

At least 7 years building production-grade data solutions, with demonstrated depth in analytics engineering or equivalent business-plus-build work.
A balanced combination 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, including Git version control, code review, and efficient, reusable code.
Ability to performance-tune and cost-optimize Spark and SQL transformations at scale.
Familiarity with data governance and cataloging tools such as Collibra.
Ability to build automated data-quality testing and validation into every solution.
Ability to learn new data domains quickly and turn business logic into reusable data products.
Ability to apply AI and automation to accelerate building while preserving quality and governance.
For work from home occasionally or permanently, an internet connection through a cable broadband or fiber optic provider with speeds of at least 10 Mbps download and 5 Mbps upload.

Nice To Haves

Experience in complex, regulated enterprises.
Healthcare or PBM data experience.

Responsibilities

Build architecture designs and analysis requirements into production-ready solutions through MVP.
Work unfamiliar data quickly into solutions that answer the business question.
Refactor learning-stage and bespoke work into durable, reusable, production-ready assets.
Build physical Silver structures to the enterprise-agnostic Silver model and reference patterns designed by Data Architecture.
Implement Silver designs faithfully and promote them to production through governed CI/CD pipelines.
Capture business context and metadata during build and hand off assets to partner teams when ready.
Deliver Gold solutions through build-through-MVP and promote them to production-grade through governed CI/CD pipelines, regardless of ownership.
Uphold build standards and guardrails for Gold solutions across teams.
Apply consistent development patterns, naming conventions, and build standards, with particular attention to connectivity across data products.
Move work through CI/CD development, testing, and productionization, clearing quality, security, and cost checks on the first pass.
Apply AI and automation to accelerate building and testing without bypassing governance, security, or quality expectations.
Partner with Data Architecture on Silver design and Gold co-design within established standards.
Partner with Data Analysis, Products & Integration and build against their requirements, business rules, and acceptance criteria.
Partner with Platform Engineering / IT and DevOps & AI Enablement, building on their ingestion, pipeline, and automation frameworks.
Partner with data science and business analytics teams so Gold products serve their models, analyses, and decisions.
Set design and hold Data Operations standards across the Hyderabad team and external service partners in a global delivery model.