Lead Data Engineer
Lead Data Engineer
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Job Description
Key Responsibilities
- Lead the design, architecture, and implementation of Snowflake-based data solutions.
- Conduct assessment of existing data platforms (e.g., legacy data warehouses, ETL pipelines) and define the modernization strategy.
- Define migration roadmaps and ensure smooth transition from legacy systems to Snowflake.
- Build robust designs, architectural patterns using Snowflake and cloud platforms in alignment with target state expectations.
- Provide architectural guidance, best practices, and technical leadership across teams.
- Collaborate with stakeholders to gather business and technical requirements.
- Design secure, scalable, and performance-optimized data models in Snowflake.
- Establish data governance, access control, and data sharing strategies using Snowflake features.
- Monitor system performance and lead efforts for tuning and optimization.
- Stay up to date on Snowflake features and recommend improvements or adoption of new capabilities.
- Mentor developers, analysts, and engineers in Snowflake development and migration techniques.
- 10+ years of experience in data architecture, data engineering, or similar roles.
- Hands-on experience with Snowflake, including data modeling, performance tuning, and advanced features
- Strong understanding of cloud platforms (AWS/Azure) and integrating Snowflake within them.
- Proven experience with end-to-end data warehouse modernization or migration projects.
- Expertise in SQL, ELT/ETL frameworks, and integration tools
- Solid understanding of data security, governance, and compliance.
- Excellent communication and stakeholder management skills.
- Experience designing and/ or implementing Data Engineering solution in Real Estate domain would be preferred
More Info
Key Skills
ETL frameworks
integration tools
About Company
Skills:
snowflake , Devops, Git, Python, Sql, dbt, CI CD
Skills:
Github, Data Factory, Power Bi, Pyspark, Data Warehouse, Sql, ELT, Python, Azure DevOps, Etl, Data Governance, OneLake, Real-Time Intelligence, Lakehouse, Microsoft Fabric, Spark optimization
Skills:
Python, Apache Flink, Scala, Cosmos, Sql, Devops, Apache Kafka, Databricks, MongoDB, Azure, Data integration tools, ETL processes, DataOps, Data security patterns
Skills:
snowflake , Git, Terraform, Openflow, PostgreSQL, Python, Sql, AWS, Apache Nifi, dbt
Skills:
Data Factory (ADF), T-sql, Microsoft Tfs, Pyspark, Scala, Visual Studio, Azure Databricks, SSIS, Azure Sql, Devops, Spark, Data Lake, Advanced Python Programming, ADLS Gen2, Unity Catalog, Delta Lake