Senior data architect

16 hours ago


Bangalore, 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 Snow Pro 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 Snow Pro Advanced Data Engineer certification Snowflake Snow Pro Advanced Data Scientist certification Snowflake Snow Pro Advanced Administrator certification Snowflake Snow Pro Advanced Data Analyst certification


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