Lead Data Builder

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

📋 Description

• Design and construct architectural frameworks, transforming analysis requirements into production-ready solutions through MVP.

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

• Refactor initial learning and customized projects into robust, reusable, production-ready assets.

• Develop physical Silver structures aligned with the enterprise-agnostic Silver model and Data Architecture reference patterns.

• Faithfully implement designs and promote them to production via governed CI/CD pipelines.

• Capture business context and metadata during construction and hand off to trusted partner teams.

• Create and deliver democratized Gold data products through MVP.

• Maintain build standards and guardrails for stable, production-grade Gold solutions.

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

• Develop, test, and productionize work through CI/CD while ensuring quality, security, and cost checks are met.

• Utilize AI and automation to accelerate building and testing without compromising governance.

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

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

⛳️ Requirements

• Over 7 years of experience in developing production-grade data solutions, demonstrating expertise in analytics engineering or equivalent business-plus-build roles.

• A balanced mix of business acumen and practical engineering skills.

• Proficient in Databricks, Spark, Unity Catalog, SQL, and Python.

• Knowledge of Snowflake and Teradata.

• In-depth understanding of dimensional and medallion (Silver / Gold) modeling within an enterprise-agnostic data model.

• Familiarity with CI/CD pipelines, automated code evaluation, and structured promotion to production.

• Strong software engineering principles, including Git, code reviews, and the creation of efficient, reusable code.

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

• Knowledge of data governance and cataloging tools like Collibra.

• Experience with automated data quality testing and validation.

• Capacity to quickly learn a new data domain and translate business logic into reusable data products.

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

• Preference for candidates with experience in complex, regulated enterprises; familiarity with healthcare or PBM data is a plus.

🏝️ Benefits

• Eligibility for an annual bonus plan.

• Comprehensive medical benefits.

• Vision insurance coverage.

• Dental insurance coverage.

• Access to 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.

• Leave of absence options.

• Remote work allowed with cable broadband or fiber optic internet service of at least 10Mbps download/5Mbps upload.