Job Title: Principal Data Engineer
Location: Frisco, TX (Hybrid)
Duration: 12+ Months
Please share resumes to rathish....@sparinfosys.com
Role Summary
The Principal Data Engineer is the senior‑most US‑based delivery engineer on the HR Analytics team and serves as the in‑region engineering peer to the Information Architect and Principal Data Engineer (India).
This is a hands‑on technical leadership role responsible for building the most complex, high‑impact HR data products end‑to‑end — from engaging with HR executives to understand business needs, through data ingestion and transformation across Snowflake and Databricks, to delivering certified datasets in Microsoft Fabric and Power BI.
The role sets the engineering benchmark for the team, mentors senior engineers, partners on platform decisions, and represents HR Analytics engineering in enterprise forums.
Key Responsibilities
Own end‑to‑end delivery of complex HR Analytics data products
Engage with HR executives and senior stakeholders to translate business needs into technical solutions
Design and implement data pipelines across:
Snowflake (including Iceberg)
Databricks (Delta Lake)
Microsoft Fabric semantic layer
Deliver certified datasets and visualizations in Power BI
Define and maintain engineering standards and best practices
Partner with the Information Architect on platform architecture, governance, and pattern definition
Act as primary US engineering lead for high‑impact delivery commitments
Provide technical leadership and guidance to senior and mid-level data engineers
Drive cross-region collaboration with the India team for seamless delivery
Troubleshoot and resolve complex engineering challenges
Represent HR Analytics engineering in enterprise-level discussions
Mentor and develop senior engineering talent
How the Role Operates
Acts as the senior-most US engineering voice for critical initiatives
Works as a peer partner with:
Information Architect (architecture decisions)
Principal Data Engineer (India) (cross‑region delivery)
Engages directly with:
HR VPs and executives
Analytics leadership
Leads by example with hands-on coding, modeling, and data product delivery
Drives engineering excellence through practical implementation
Team Structure & Working Model
Global HR Analytics team across US & India
Structure:
Information Architect – Architecture ownership
Principal Data Engineers – Engineering leadership & delivery
Senior / Data / Associate Engineers – Execution
Delivery flow:
Business need → Design → Ingestion → Transformation → Semantic layer → Power BI
Operates in a DevOps model:
Engineers own production data products
On‑call rotation shared across team
Required Qualifications
10+ years of experience in Data Engineering / Data Platform Engineering
Experience in Principal / Lead engineering role on enterprise data platforms
Strong hands-on expertise in:
Databricks (Delta Lake)
Snowflake (including Iceberg)
Microsoft Fabric
Proficiency in:
PySpark
Spark SQL
Python
Experience building end-to-end data pipelines and data products
Strong knowledge of:
Data modeling
Lakehouse architecture
Data transformation frameworks
Experience working with enterprise data systems and large-scale platforms
Ability to engage with senior business stakeholders and translate technical solutions
Proven experience mentoring and leading senior engineers
Preferred Qualifications
Experience in HR Analytics domain (Workforce, Talent, Compensation, etc.)
Exposure to Workday, ServiceNow, or similar HR systems
Experience with streaming technologies
Familiarity with enterprise data platforms and large-scale analytics environments
Experience supporting AI/ML or advanced analytics workloads
Exposure to Power BI semantic models and reporting
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