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 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 counterpart to Data Architecture and Data Analysis, Products & Integration. The role builds and promotes data products through governed CI/CD pipelines, captures business context and metadata, and applies engineering standards, quality controls, security, and cost checks. It partners with architecture, analysis, platform engineering, IT, DevOps and AI Enablement, data science, business analytics, and service partners. Data Operations may own particular Gold assets, but the Gold layer is democratized across teams. The position also sets and upholds Data Operations build standards across the Hyderabad team and external service partners in a global delivery model.
Requirements
- At least 3 years of experience 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.
- 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 efficient, reusable code.
- Ability to performance-tune and cost-optimize Spark and SQL transformations at scale.
- Experience with automated data-quality testing and validation built into solutions.
- Ability to learn new data domains 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
- Familiarity with Snowflake and Teradata in addition to a Databricks-first stack.
- Familiarity with data governance and cataloging tools such as Collibra.
- Experience in complex, regulated enterprises.
- Healthcare or PBM data experience.
Responsibilities
- Turn architecture designs and analysis requirements into production-ready solutions through MVP.
- Work quickly with new and unfamiliar data to build 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 trusted partner teams as readiness allows.
- Build Gold data products through MVP and promote them to production grade through governed CI/CD pipelines.
- Uphold build standards and guardrails for Gold solutions across teams.
- Apply development patterns, naming conventions, and build standards that connect data products across the ecosystem.
- Move work through development, testing, and productionization in CI/CD pipelines, clearing quality, security, and cost checks.
- Use AI and automation to accelerate development and testing while maintaining governance, security, and quality expectations.
- Partner with Data Architecture to build to Silver designs and co-design Gold within established standards.
- Partner with Data Analysis, Products & Integration to build against requirements, business rules, and acceptance criteria.
- Partner with Platform Engineering, IT, DevOps & AI Enablement on ingestion, pipelines, and automation frameworks.
- Collaborate with data science and business analytics teams to ensure Gold data products support their models, analyses, and decisions.
- Set the design and uphold Data Operations standards across the Hyderabad team and outside service partners.
Benefits
- Medical benefits
- Vision insurance
- Dental insurance
- Well-being and behavioral health programs
- 401(k)
- Company-paid life insurance
- Tuition reimbursement
- At least 18 days of paid time off per year
- Paid holidays
- Leaves of absence
- Eligibility to participate in an annual bonus plan
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
