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Zywave - Technical Lead - Snowflake DB / Data Architecture

Zywave - Technical Lead - Snowflake DB / Data Architecture

ZywavePune
1 day ago
Job description

About the Role :

We are looking for a Technical Lead with deep expertise in Snowflake, SQL Server, and modern data architecture principles (Medallion Architecture, Data Mesh) to lead the design and implementation of scalable, secure, and high-performance data solutions.

The ideal candidate will be a strategic thinker with strong technical leadership skills and a passion for building data-driven ecosystems that empower business insights.

Key Responsibilities :

  • Lead the end-to-end design and development of robust data pipelines using Snowflake and SQL Server.
  • Architect and implement Medallion Architecture (Bronze, Silver, Gold layers) for structured and semi-structured data.
  • Drive the adoption of Data Mesh principles to promote domain-oriented, decentralized data ownership.
  • Collaborate with data analysts, scientists, and business teams to translate requirements into scalable solutions.
  • Ensure data quality, governance, and lineage across all data assets.
  • Optimize data workflows for performance, scalability, and cost efficiency.
  • Mentor and guide data engineers, fostering a culture of technical excellence and innovation.
  • Stay current with emerging data engineering technologies and recommend continuous improvements.

Qualifications & Skills :

Education : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field.

Experience : 8 to12 years in data engineering, including 3+ years in a technical leadership role.

Core Skills :

  • Strong hands-on experience with Snowflake (data ingestion, transformation, performance tuning).
  • Advanced proficiency in SQL Server and T-SQL for complex data operations.
  • Deep understanding of Medallion Architecture and Data Mesh principles.
  • Experience with ELT / ETL tools, Git, and CI / CD pipelines.
  • Familiarity with data orchestration tools (Airflow, dbt) and cloud platforms (AWS or Azure).
  • Strong analytical, problem-solving, and leadership abilities.
  • Good to Have :

  • Experience with Kafka, Spark Streaming, AWS, dbt, or Prompt Engineering.
  • Proficiency in Python or .NET for data processing.
  • Insurance domain knowledge is highly preferred.
  • (ref : hirist.tech)

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