Senior Data Engineer (Snowflake Semantic Layer).
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global computer software organization known for delivering innovative data and analytics solutions. They operate at a significant scale, supporting complex enterprise environments with a focus on cutting-edge cloud technologies and data-driven decision-making.
About the role.
We are seeking a highly skilled Data Engineer to design and optimize enterprise-scale data platforms with a focus on semantic layer architecture. You will be responsible for building governed, business-friendly data models that enable self-service analytics and ensure a single source of truth across the organization. This role requires a deep understanding of Snowflake and the ability to translate complex business requirements into scalable data solutions.
What you will do.
- Design, develop, and maintain scalable data pipelines and ELT/ETL processes within the Snowflake Data Cloud.
- Architect and manage enterprise semantic models to provide consistent business metrics and KPIs.
- Optimize Snowflake performance through advanced query tuning, clustering, and warehouse sizing.
- Implement dimensional models including Star and Snowflake schemas to support diverse business domains.
- Integrate semantic layers with BI and visualization tools to enable governed self-service analytics.
- Establish data quality frameworks, metadata management, and lineage tracking to ensure data integrity.
- Collaborate with business stakeholders to translate requirements into robust, reusable data structures.
- Implement security, governance, and access control policies across the data platform.
What you bring.
- 6–8 years of professional experience in data engineering and data warehousing.
- Expert-level proficiency in Snowflake Data Cloud and advanced SQL development.
- Proven experience in designing and implementing semantic layers using tools like dbt, AtScale, or LookML.
- Strong background in dimensional modeling and ETL/ELT development.
- Proficiency in Python programming for data pipeline automation.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with data governance tools like Collibra, Alation, or Microsoft Purview.
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- SnowPro certification is highly preferred.
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