Senior Data Architect

1 week ago

Bangalore Metropolitan Area, India Trianz Full time

Responsibilities -


  • Architectural Design: Architect secure, scalable, highly performant data engineering and management solutions, including data warehouses, data lake, ELT / ETL, and real-time data engineering/pipeline solutions.
  • Support Principal Data Architect in defining and maintaining Practice reference data engineering and data management architectures.
  • Snowflake Implementation: Design and manage scalable end-to-end data solutions leveraging native Snowflake workloads including Data Engineering; Data Lake; Data Warehouse; Applications; Unistore; AI/ML; Governed Collaboration, Marketplace, Streamlit.
  • Hyperscaler Design: Competently leverage data-related cloud platform (AWS or Azure) capabilities to architect and develop end-to-end data engineering and data management solutions.
  • Client Engagement: Regular collaboration and partnership with clients to understand their challenges and needs then translate requirements into data solutions that drive customer value. Support proposal development.
  • Data Modeling: Create and maintain conceptual, logical, and physical data models that support both transactional and analytical needs. Ensure data models are optimized for performance and scalability.
  • Creativity: Be an out-of-the-box thinker and passionate about applying your skills to new and existing solutions alike while always demonstrating a customer-first mentality.


Required Skills


  • 12+ years hands-on data solution architecture and implementation experience on modern cloud platforms (AWS preferred) including microservice and event-driven architectures.
  • Snowflake SnowPro Advanced Architect certification.
  • An architectural certification on either AWS, Azure or GCP.
  • Hands-on experience with Snowflake capabilities including Snowpipe, Snowpark, Cortex, Polaris Catalog, native applications, Notebooks, Horizon, Marketplace, Streamlit.
  • Practical experience with end-to-end data engineering and data management supporting functions including data modeling (conceptual, logical & physical), BI & analytics, data governance, data quality, data security / privacy / compliance, IAM, performance optimization.
  • Advanced SQL and data profiling.
  • Python, Scala or Java.
  • Strong communication skills with the ability to convey technical concepts to non-technical users.
  • Strong, self-management skills demonstrating ability to multitask and self-manage goals and activities.


Good to have Skills

  • Snowflake SnowPro Advanced Data Engineer certification
  • Snowflake SnowPro Advanced Data Scientist certification
  • Snowflake SnowPro Advanced Administrator certification
  • Snowflake SnowPro Advanced Data Analyst certification

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