Lead Data Builder

This is a fully remote position, open to applicants in United States.

📋 Description

• Transform architectural designs and business requirements into production-ready solutions via MVP.

• Rapidly integrate new and unfamiliar data into solutions that address business inquiries.

• Refine learning-stage and custom work into robust, reusable, production-ready assets.

• Construct physical Silver structures aligned with the enterprise-agnostic Silver model and reference patterns.

• Faithfully implement designs and promote them to production through managed CI/CD pipelines.

• Capture business context and metadata during the build process and transfer to partner teams.

• Deliver Gold solutions through build-through-MVP and elevate them to production-grade, regardless of ownership.

• Maintain build standards and guardrails for federated Gold solutions.

• Apply development patterns, naming conventions, and build standards consistently across data products.

• Develop, test, and productionize work via CI/CD while meeting quality, security, and cost criteria.

• Utilize AI and automation to enhance building and testing processes while adhering to governance.

• Collaborate with Data Architecture, Data Analysis, Products & Integration, Platform Engineering, IT, DevOps, AI Enablement, data science, and business analytics teams.

• Establish design standards and uphold Data Operations standards within the Hyderabad Data Operations team and with external service partners.

⛳️ Requirements

• Over 7 years of experience in developing production-grade data solutions.

• Proven expertise in analytics engineering or similar business-plus-build roles.

• A genuine balance of business acumen and hands-on engineering skills.

• Practical experience with Databricks, Spark, Unity Catalog, SQL, and Python.

• Familiarity with Snowflake and Teradata platforms.

• Extensive knowledge of dimensional and medallion (Silver / Gold) modeling in an enterprise-agnostic data framework.

• Proficient understanding of CI/CD pipelines, automated code evaluation, and regulated production promotion.

• Strong software engineering practices, including Git, code review, and efficient, reusable code development.

• Experience in performance tuning and cost optimization of Spark and SQL transformations at scale.

• Awareness of data governance and cataloging tools such as Collibra.

• Experience with automated data quality testing and validation.

• Ability to quickly learn new data domains and convert business logic into reusable data products.

• Capacity to leverage AI and automation while maintaining quality and governance standards.

• Background in complex, regulated enterprises is preferred.

• Experience with healthcare or PBM data is an advantage.

• Access to home internet via cable broadband or fiber optic service, with minimum speeds of 10Mbps download and 5Mbps upload when working remotely.

🏝️ Benefits

• Eligibility for annual bonus plan.

• Comprehensive medical benefits.

• Vision coverage.

• Dental insurance.

• Well-being and behavioral health programs.

• 401(k) retirement plan.

• Company-paid life insurance.

• Tuition reimbursement opportunities.

• A minimum of 18 days of paid time off annually.

• Paid holidays.

• Options for leaves of absence.

• Flexible remote work arrangement.

• Requirement for cable broadband or fiber internet with at least 10Mbps download and 5Mbps upload for remote work.