Data Ops - Lead Data Builder

Cigna Healthcare Hartford, Connecticut, US

About the Role

The job profile for this position is

Data Management Strategy & Governance Senior Advisor 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. 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.

~ 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.

Not a pure data engineering or platform role.

~ 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.

7+ years building production-grade data solutions

, with demonstrated depth in analytics engineering or equivalent business-plus-build work.

~ 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.

~ healthcare or PBM data a plus.

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.This role is also anticipated to be eligible to participate in an annual bonus plan. Starting on day one of your employment, you’ll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws. If you need a reasonable accommodation to complete the online application process, please email

note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes. The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

Responsibilities

  • Build data products from designs
  • Collaborate with Data Architecture
  • Produce production-grade data assets

Qualifications

  • Experience in data engineering and data management
  • Knowledge of data governance and architecture

Required Skills

data engineering data management data governance MV P production-grade

Keywords

data engineering governance architecture data products

Interested in this role?

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Job Overview

Date Posted 5 days ago
Location Hartford, Connecticut, US
Job Type Full-time
Work Mode Onsite
Category Health information technology, Data management

About the Company

Cigna Healthcare