Principal Engineer – Software

Empower

Principal Engineer providing technical leadership in data engineering solutions at Empower. Guiding complex data integration and modernization for analytics and AI/ML use cases.

Posted 6/14/2026full-timeRemote • 🇮🇳 IndiaLeadWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLETLELTdata modelingdata warehousingdata qualitymetadata managementperformance optimizationdistributed data processing

Soft Skills

technical leadershipmentoringstakeholder engagementproblem solvingcommunicationcollaborationdocumentationstandardizationguidanceskill development

Tools & Technologies

cloud data platformsAWSdata pipelinesanalytics platformsbusiness intelligencereporting platformsdata integrationsorchestration toolstransformation toolsenterprise data warehouses

Certifications & Qualifications

Bachelor’s degree in computer scienceBachelor’s degree in information systemsBachelor’s degree in data engineeringBachelor’s degree in analyticsBachelor’s degree in engineering

Industry Keywords

data engineeringanalytics engineeringenterprise data platform developmentcloud data engineeringmodern data platform practicesdata lineagedata quality controlsproduction supportlegacy data modernizationAI/ML concepts

Tech Stack

Tools & technologies

AWSCloudETLPythonSparkSQL

About the role

Key responsibilities & impact

Provide technical feasibility analysis and solution evaluation for data and analytics initiatives
Lead the design and implementation of scalable data engineering solutions, including data pipelines, data models, data integrations, and analytics-ready data products
Provide technical leadership for data architecture, ETL/ELT design, code reviews, performance tuning, production support, and issue resolution
Guide modernization of legacy data and reporting platforms, including migration from traditional ETL and reporting tools to modern cloud data platforms
Design and oversee data pipelines using cloud-based technologies, Python, Spark, SQL, and related orchestration and transformation tools
Support enterprise analytics platforms, including data warehouse, reporting, semantic layer, and business intelligence environments
Partner with stakeholders to define and execute the technical roadmap for data engineering, analytics enablement, platform modernization, data quality, and automation
Establish and promote engineering standards, reusable patterns, coding guidelines, testing practices, data quality controls, and documentation expectations
Mentor engineers and technical team members, supporting skill development in cloud data engineering, data modeling, analytics engineering, and modern data platform practices

Requirements

What you’ll need

Bachelor’s degree in computer science, information systems, data engineering, analytics, engineering, or equivalent training and experience
12+ years of experience in software engineering, data engineering, analytics engineering, or enterprise data platform development
Strong experience with Python, SQL, distributed data processing, and ETL/ELT development
Experience with cloud-based data platforms and services, preferably AWS
Experience with enterprise data warehouses, data marts, reporting platforms, and business intelligence solutions
Strong understanding of data modeling, data warehousing, data quality, metadata management, data lineage, performance optimization, and production support practices
Working knowledge of AI/ML concepts and data engineering practices

Benefits

Comp & perks

Flexible work environment
Purpose, well-being, and work-life balance
Opportunities for internal mobility