Data Ops - Data Builder
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 physical Silver structures to the enterprise-agnostic model and reference patterns created by Data Architecture, and co-designs and builds Gold data products containing business logic, metrics, and functional knowledge. It works closely with Data Architecture, Data Analysis, Products & Integration, Platform Engineering/IT, DevOps & AI Enablement, data science, business analytics, and service partners. The position reports to the Senior Director, Data Operations & Data Management and contributes to a global delivery model, including setting and maintaining Data Operations build standards across the Hyderabad team and external service partners. The role emphasizes production readiness from the outset, reusable development patterns, governed CI/CD promotion, quality and security checks, cost optimization, automated data-quality testing, and responsible use of AI and automation. Data Operations may own particular Gold assets and may support other teams building theirs; the Gold layer is democratized rather than owned by this role. The position is not a pure data engineering or platform role, does not own the enterprise Silver model, and is not primarily responsible for business requirements, governance policy, stewardship, or BI reporting. The anticipated annual salary is $102,400–$170,600, depending on relevant factors such as experience and geographic location. The role is also anticipated to be eligible for an annual bonus plan. If working from home occasionally or permanently, the employee must have cable broadband or fiber-optic internet with speeds of at least 10 Mbps download and 5 Mbps upload.
Requirements
- At least 3 years building production-grade data solutions, with demonstrated depth in analytics engineering or equivalent business-plus-build work.
- A strong, 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 version control with Git, code review, and writing 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.
- Experience building automated data-quality testing and validation into solutions.
- Ability to learn a new data domain quickly and turn business logic into reusable data products.
- Ability to apply AI and automation to accelerate development while preserving quality and governance.
Nice To Haves
- Experience in complex, regulated enterprises.
- Healthcare or PBM data experience.
Responsibilities
- Build architectural designs and analysis requirements into production-ready solutions through MVP.
- Work quickly with new and unfamiliar data to develop solutions that answer business questions.
- 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 development, and hand off to partner teams as readiness allows.
- Build Gold solutions through MVP and promote them to production-grade through governed CI/CD pipelines, regardless of which team owns the asset.
- Uphold build standards and guardrails to keep the federated Gold layer stable and production-grade across teams.
- Apply consistent development patterns, naming conventions, and build standards, with particular attention to connectivity across data products.
- Develop, test, and productionize work through CI/CD pipelines, clearing quality, security, and cost checks.
- Apply AI and automation to accelerate building and testing while maintaining governance, security, and quality expectations.
- Partner with Data Architecture to build to Silver designs and co-design Gold solutions within established standards.
- Partner with Data Analysis, Products & Integration to build against requirements, business rules, and acceptance criteria.
- Partner with Platform Engineering/IT and DevOps & AI Enablement, building on their ingestion, pipelines, and automation frameworks.
- Partner with data science and business analytics teams to ensure Gold data products serve their models, analyses, and decisions.
- Set and maintain Data Operations standards across the Hyderabad Data Operations team and external service partners as part of a global delivery model.
- Help ensure new data reaches a trusted, production-grade asset in a short cycle time.
Benefits
- Comprehensive benefits focused on whole health.
- Medical benefits.
- Vision benefits.
- Dental benefits.
- Well-being and behavioral health programs.
- 401(k).
- Company-paid life insurance.
- Tuition reimbursement.
- A minimum of 18 days of paid time off per year.
- Paid holidays.
- Leaves of absence.
- Eligibility to participate in an annual bonus plan is anticipated.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
