Data Ops - Data Builder

Cigna Healthcare; East Windsor Hill (CT); Hybride; USD 102 000 - 171 000; Plein temps

Avantages offerts par ce poste

Health benefits

401(k) plan

Tuition reimbursement

Paid time off

Paid holidays

Leaves of absence

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

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

Outils

Collibra

Description du poste

The job profile for this position is Data Management Strategy & Governance 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.

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 Responsibilities

Rapid 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

• 3+ 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.

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 102,400 - 170,600 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.

At The Cigna Group, you’ll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. 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.

About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

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. Please 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. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.