Description

• Serve as the overall technical lead for the HR Analytics India delivery team — accountable for the quality, velocity, reliability, and business-fit of everything the India team ships.
• Set and uphold the engineering bar for the India team across the full vertical from ingestion through visualization, aligned with the patterns and standards set by the US-based Information Architect.
• Lead and develop the senior engineering talent in India — coaching India Senior Data Engineers, raising both their technical ceiling and their business-context depth, and building the next generation of India technical leaders.
• Partner with the US Information Architect on architecture decisions, pattern definition, and engineering governance — bringing the India delivery perspective into platform-level decisions.
• Partner with US Senior Data Engineers on solution handoffs and joint design reviews, ensuring the India team takes work forward with full business intent rather than literal requirements.
• Make primary technical decisions for India-led work during India hours — design tradeoffs, risk calls, ambiguity resolution — using deep business understanding to make sound calls without round-tripping every question to US partners.
• Lead the hardest engineering problems hands-on — complex pipeline builds, semantic model design, performance and scale problems, high-risk implementations — rather than only directing the work of others.
• Lead design reviews in India hours, ensuring solutions align with architectural standards and that risks are surfaced before they reach production.
• Own the engineering practices of the India team — code review discipline, testing standards, documentation rigor, DevOps and CI/CD practices, KTLO ownership, and incident response.
• Represent the India team in cross-functional and platform-level conversations — with the Omni platform, enterprise IT architecture, Data Governance, and other engineering teams.
• Build firsthand business context by joining HR stakeholder meetings during overlap windows, and grow the India team's direct business engagement over time.
• Drive continuous improvement of how the India and US teams operate together — handoff patterns, async communication, overlap-window discipline, and decision documentation.

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, Information Management, or equivalent experience in field — plus 12+ years of related work experience, with at least 3 years in a principal engineer, lead, or comparable senior-most technical capacity.
• Must be located in India.
• 12+ years of hands-on data engineering experience delivering production data pipelines and data products in large enterprise environments.
• Proven track record of serving as the senior-most engineering leader for an India-based delivery team partnering with a US-based business and engineering function across a significant timezone gap.
• Demonstrated depth of business acumen — the ability to understand a functional domain (HR, finance, supply chain, or comparable) deeply enough to interpret intent, resolve ambiguity, represent the business to engineering, and make sound decisions without synchronous access to business stakeholders.
• Demonstrated experience developing senior engineering talent — coaching Senior and Lead engineers and raising the overall technical ceiling of a team.
• Experience partnering as a peer with US-based architects and senior engineers, including contributing to architecture decisions and engineering standards at the platform level.
• Expert proficiency in SQL and Python, including PySpark and Spark SQL for distributed data transformation.
• Deep hands-on expertise with Databricks including Delta Lake, Unity Catalog, Databricks Workflows, Structured Streaming, and performance tuning at scale.
• Deep hands-on expertise with Snowflake at production scale, including Iceberg tables and modern open table formats.
• Deep hands-on expertise with Microsoft Fabric including OneLake and Fabric IQ semantic layer design, with a track record of publishing certified data products for downstream consumption.
• Hands-on experience building data visualizations and reports in Power BI, including semantic model design that bridges Fabric models to BI consumption.
• Experience landing data through a unified ingestion framework and defining data contracts with source systems.
• Strong data modeling skills — conceptual, logical, and physical — including dimensional modeling and modern lakehouse modeling patterns.
• Experience implementing data quality frameworks and pipeline testing, including unit tests, integration tests, data quality checks, and reconciliation.
• Experience with DevOps practices for data pipelines — Git, CI/CD, and automated testing — at a standard-setting level.
• Excellent written and verbal English communication skills — including the async writing discipline that distributed delivery leadership requires.
• Strong problem-solving skills and the ability to lead through ambiguity, competing priorities, and high-pressure delivery.
• Willingness and ability to flex working hours into the US overlap window as needed.

PREFERRED QUALIFICATIONS

• Experience with HR data domains — talent acquisition, workforce analytics, compensation, learning, performance, or people analytics.
• Hands-on experience with Workday, ServiceNow HR, or comparable HR systems of record as authoritative sources for analytics.
• Experience building out or scaling a Global Capability Center (GCC) data engineering team partnering with a US-based business and engineering function.
• Experience with real-time streaming technologies including Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming.
• Experience with AI/ML pipelines, feature stores, or building data products that support generative AI and ML workloads.
• Familiarity with legacy data platforms such as Teradata, Oracle, or SQL Server.
• Azure certifications or demonstrated experience with Azure-native data platform services beyond Fabric and Databricks.
• Familiarity with Telecommunication's Omni lakehouse platform, MagentaBuilt integrations, or enterprise IT architecture standards.
• Experience with data privacy and regulatory compliance for HR data (GDPR, CCPA, employee data protection)

Key Skills

Education

Bachelor's degree