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Urgent! Sigmasoft - Data Architect - Snowflake DB - Local Job Opening in Bengaluru

Sigmasoft Data Architect Snowflake DB



Job description

<p><p><b>Data Architect the Role :</b></p><p><br/></p>We are seeking a skilled Data Architect (Snowflake) to design, implement, and optimize our cloud-based data architecture.

In this role, you will be responsible for building scalable, high-performance data solutions using Snowflake and associated data ecosystem tools.

You will play a critical role in defining data strategy, data modeling standards, and architecture best practices across the Responsibilities :</b></p><p><b><br/></b></p><p>- Design and implement robust, scalable Snowflake-based data architectures.</p><p><br/></p>- Lead the development and optimization of data models (both logical and physical) to support analytics, reporting, and operational workflows.<br/><br/></p><p>- Collaborate with data engineers, analysts, and stakeholders to translate business requirements into technical solutions.<br/><br/></p><p>- Establish and enforce data architecture standards, governance, and best practices.<br/><br/></p><p>- Design and implement data pipelines using ETL/ELT tools (e.g., dbt, Fivetran, Informatica, Talend, etc.).<br/><br/></p><p>- Optimize Snowflake performance through clustering, partitioning, caching, and query tuning.<br/><br/></p><p>- Define data security, access controls, and data masking strategies in Snowflake.<br/><br/></p><p>- Integrate Snowflake with various data sources (e.g., AWS, Azure, GCP, APIs, on-prem systems).<br/><br/></p><p>- Stay updated with Snowflakes evolving features and recommend adoption Qualifications : </b></p><p><br/></p><p>- Bachelors or Masters degree in Computer Science, Information Systems, or related field.</p><p><br/></p>- Experience in data architecture, data engineering, or database development.<br/><br/></p><p>- Hands-on experience with Snowflake in production environments.<br/><br/></p><p>- Strong knowledge of data modeling (star/snowflake schemas) and dimensional modeling.<br/><br/></p><p>- Proficiency with SQL, Python, and ETL/ELT tools.<br/><br/></p><p>- Experience with cloud platforms (AWS, Azure, or GCP).<br/><br/></p><p>- Knowledge of data governance, data quality, and metadata management.</p><br/></p> (ref:hirist.tech)


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