Principal Data Architect - Modern Data Platforms

About the Role:

Sietrix Technologies is hiring a Principal Data Architect - Modern Data Platforms for one of our client engagements.

We are looking for a senior hands-on Data Architect who has real production experience in designing, building, and optimizing modern cloud data platforms. This is not a strategy-only or documentation-heavy architecture role. The right candidate should be able to own architecture decisions end-to-end while also being technically hands-on when required.

The ideal candidate will have strong experience with Snowflake, dbt, Python, SQL, data modelling, cloud-native data platforms, pipeline architecture, performance optimization, governance, and AI-ready data foundations.

We are looking for someone who has actually built scalable data platforms, solved Snowflake performance and cost challenges, handled complex enterprise data, and worked closely with engineering teams to deliver production-grade solutions.

Key Responsibilities:

• Own end-to-end architecture for modern cloud data platforms.

• Design scalable, secure, and reliable data ecosystems.

• Build and guide production-grade data ingestion, transformation, and data modeling frameworks.

• Lead Snowflake architecture, including performance tuning, warehouse strategy, workload scaling, storage optimization, and cost management.

• Design and implement batch, API-driven, and event-driven data ingestion frameworks.

• Work with dbt to build reusable, testable, and maintainable transformation models.

• Use Python and SQL for data engineering, automation, integration, and performance optimization.

• Design reliable orchestration, monitoring, observability, and pipeline failure-handling strategies.

• Establish enterprise-grade governance, access control, security, and data quality frameworks.

• Support AI/ML, advanced analytics, and LLM-related data initiatives through clean, governed, and AI-ready data architecture.

• Define modern engineering standards, reusable frameworks, and platform best practices.

• Work directly with engineering, business, and leadership teams to convert requirements into scalable technical solutions.

• Mentor data engineers and guide teams on architecture, design, and implementation best practices.

Required Skills:

• 8-12+ years of experience in Data Engineering, Data Architecture, or Modern Data Platform Engineering.

• Strong hands-on experience with Snowflake, dbt, Python, and SQL.

• Proven experience designing and building cloud-native data platforms from the ground up.