Senior Snowflake Developer.
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 provider of computer software solutions, known for driving digital transformation through advanced data and AI capabilities. They operate at a significant scale, fostering a culture of innovation, technical excellence, and continuous professional growth for their engineering teams.
About the role.
We are seeking a highly skilled Senior Snowflake Developer to lead the design, implementation, and scaling of modern cloud data platforms. This role involves defining architectural standards, driving delivery governance, and partnering with clients to execute large-scale data transformation programs within a high-performing Centre of Excellence.
What you will do.
- Build and scale Snowflake capabilities including architecture, engineering, governance, and FinOps.
- Define reference architectures, reusable assets, frameworks, and accelerators for enterprise-scale data programs.
- Lead end-to-end solution architecture for data ingestion, transformation, and consumption.
- Establish and enforce standards for delivery quality, security, and performance.
- Partner with clients to define data strategies, roadmaps, and transformation journeys.
- Lead solution workshops, proposals, and executive-level technical discussions.
- Mentor architects and engineers while fostering internal communities of practice.
- Drive account growth through innovation-led proposals and technical thought leadership.
What you bring.
- 8–10 years of overall experience in data engineering, analytics, or data platform roles.
- Minimum 5 years of hands-on experience in Snowflake with strong architecture and delivery expertise.
- Deep expertise in Snowflake features including Snowpipe, Streams & Tasks, Dynamic Tables, and Secure Sharing.
- Proven experience in data modelling using Dimensional, Data Vault, or Lakehouse methodologies.
- Strong proficiency in ELT/ETL pipelines and orchestration tools such as ADF, Airflow, or dbt.
- Solid understanding of performance tuning, cost optimization, and data security practices like RBAC and masking.
- Hands-on experience in client-facing consulting roles and complex solution design.
- Experience working within major cloud ecosystems such as Azure, AWS, or GCP.
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