Asset & Wealth Management - PWM Data Engineering - Vice President - Bengaluru

Key Responsibilities

• Architecture & Deployment: Design, deploy, and maintain enterprise-grade cloud database environments (Snowflake, Databricks, Helios) across AWS, Azure, or GCP to support high-concurrency applications and large-scale analytics.
• Performance Engineering: Develop and implement advanced performance tuning strategies, including query optimization, clustering/partitioning logic, and right-sizing compute resources (e.g., Snowflake Warehouses, Databricks SQL Warehouses).
• Security & Governance: Partner with Identity & Access Management (IAM) and Security teams to integrate best practices such as Role-Based Access Control (RBAC), Row-Level Security (RLS), and automated provisioning via SCIM. Leverage Unity Catalog (Databricks) or Snowflake Horizon for unified governance.
• Data Modeling: Collaborate with cross-functional teams to design and implement optimized data models (Star Schema, Data Vault, or Medallion Architecture) that balance storage efficiency with query performance.
• Reliability & Troubleshooting: Act as the primary escalation point for complex database-related issues, ensuring high availability, data integrity, and rapid resolution of performance bottlenecks.
• FinOps & Capacity Planning: Perform rigorous capacity planning and cost-governance assessments. Monitor credit consumption and implement automated scaling policies to optimize the total cost of ownership (TCO).
• SDLC & Automation: Drive improvements in database DevOps and CI/CD pipelines. Integrate automated testing frameworks (e.g., dbt tests) and performance benchmarking into the release mechanism.
• Innovation: Stay at the forefront of cloud data trends, including Iceberg/Delta Lake interoperability, serverless compute, and AI-driven optimization features, to recommend innovative platform enhancements.
• Mentorship: Provide technical leadership and mentorship to junior team members, fostering a culture of excellence in cloud database administration and engineering.

Basic Qualifications

• We are looking for a senior candidate who will play a key role in driving our transformational efforts from India. Strong communication skills are key: we expect you to constructively volunteer reasoned views and opinions in different team forums. Effectively meeting the demands of our challenging mandate requires a passion for learning as well as deep understanding and experience across a wide array of competencies, such as:
• Bachelor's degree in Computer Science, Engineering, or a related field.
• 10+ years of experience in database administration with at least 5 years of hands-on experience with SingleStore.
• Strong proficiency in SQL and database performance tuning techniques.
• Technical Expertise: Proven experience with Snowflake (Snowpark, Streams, Tasks), Databricks (Delta Lake, Spark SQL, Unity Catalog), or SingleStore Helios (Universal Storage, Pipelines).
• Cloud Proficiency: Strong hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) and its associated networking and security services.
• SQL Mastery: Expert-level SQL skills, including complex analytical functions, window functions, and stored procedure development.
• Automation: Experience with Infrastructure as Code (Terraform/Pulumi) and data transformation tools like dbt (Data Build Tool).
• Strong communication skills (in person, phone, and email).
• Strong sense of ownership, focus on quality, responsiveness, efficiency, and innovation.

Preferred Qualifications

• Snowflake Pro Core / Advanced Architect
• Databricks Certified Data Engineer Professional
• Cloud Provider Certifications (e.g., AWS Certified Data Engineer, Azure Data Engineer Associate)
• Experience in the financial services industry.
• Proficient in Python or Bash, and Java.

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