
Principal Data Platform Engineer
- Hyderabad, Telangana
- Permanent
- Full-time
- Leverage end-to-end visibility of our data platform stack (Databricks, Unity Catalog, SQL Server, Airflow, EventHub/Kafka) to design and implement next-generation data flow architectures
- Act as a subject matter expert for data platform architecture and compliance frameworks within HIPAA and multitenant environments
- Design and implement scalable data flow processes across all platform services, ensuring optimal performance and governance
- Lead strategic initiatives to modernize data infrastructure patterns, including:
- Cross-service data flow optimization and orchestration
- Modern data storage and access patterns
- Integrated data cataloging and lineage systems
- Performance bottleneck identification and resolution across the platform
- Design and implement data architectures within established data domains, determining optimal service deployment strategies (SQL databases, search indexes, data warehouses, caches)
- Collaborate across engineering, analytics, information security, and DevOps teams to create actionable platform improvements and drive those plans through the SDLC process to production
- Act as a change agent, championing modern best practices in data platform design, governance, and compliance
- Mentor data engineers and cross-functional team members through code reviews, architectural guidance, and knowledge sharing
- Establish and maintain data platform standards, guidelines, and best practices across the organization
- Produce and present detailed findings and architectural plans to technical stakeholders and leadership
- Maintain a balance between ideal solutions and pragmatic tradeoffs to keep the system stable while evolving it
- Take ownership of data domain architecture decisions, working closely with domain owners to optimize their data strategies
- 7+ years of software engineering experience, with significant hands-on expertise in Python and modern data stack technologies
- Proven experience architecting and optimizing data platforms using Databricks, Unity Catalog, and cloud data services in high-throughput environments
- Strong understanding of data modeling, governance frameworks, and compliance requirements (HIPAA experience highly preferred)
- Experience with Infrastructure as Code (Terraform), orchestration tools (Airflow), and streaming platforms (Kafka/EventHub)
- A track record of leading data platform initiatives across teams and organizations
- Experience identifying performance issues through profiling tools, logs, and query optimization
- A holistic systems thinker who can comfortably navigate between infrastructure, application, and governance layers
- Excellent communication and mentoring skills -- you know how to drive change through influence and technical leadership
- Work on a system that's already working well – and help make it even better.
- Collaborate with teams who value thoughtful engineering, technical rigor, and clean architecture.
- Be empowered to make a real difference through strategic guidance and technical insight.
- Join a culture that values long-term thinking, knowledge sharing, and continuous improvement.