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Lead Snowflake SME
Successfully
Req. VR-122650
We are seeking a highly experienced Lead Snowflake Expert to design and deliver a next-generation cloud data warehouse and integration platform. This role will be central to building a scalable, secure, and high-performance data ecosystem that supports our portfolio management software used by asset managers globally.
You will lead the architecture and implementation of our Snowflake-based data platform, working closely with engineering, product, and client teams to ensure robust data pipelines, seamless integrations, and best-in-class data governance.
Architecture & Design
Define and own the end-to-end Snowflake data architecture, including data modelling, storage, and compute strategies
Design scalable ELT/ETL frameworks for ingesting data from internal systems, third-party providers, and client sources
Establish best practices for performance optimization, cost control, and security
Implementation & Delivery
Lead hands-on development of Snowflake solutions, including schemas, pipelines, and data transformations
Build and optimize data ingestion pipelines (batch and real-time where applicable)
Integrate Snowflake with upstream and downstream systems (APIs, data lakes, reporting tools, etc.)
Data Integration & Financial Data Expertise
Design robust ingestion and normalization of financial datasets (positions, transactions, market data, pricing, reference data)
Ensure data consistency and lineage across portfolio management workflows
Governance & Security
Implement data governance frameworks including access control, auditing, and data quality monitoring
Ensure compliance with financial data regulations and client data security requirements
Leadership & Collaboration
Act as technical lead across the project lifecycle, mentoring engineers and guiding best practices
Collaborate with product managers, architects, and client teams to translate business requirements into technical solutions
Influence tooling and technology decisions across the data platform
Must have
Snowflake Expertise
Deep, hands-on experience with Snowflake architecture, performance tuning, and cost optimization
Strong understanding of Snowflake features (e.g., Snowpipe, Streams & Tasks, data sharing, zero-copy cloning)
Data Engineering
Proven experience designing and building enterprise-scale data warehouses
Strong SQL skills and experience with modern ELT tools (e.g., dbt, Airflow, or similar)
Experience with cloud platforms (AWS, Azure, or GCP)
Integration & Pipelines
Experience building robust data pipelines and integrating with APIs, message queues, and file-based ingestion
Familiarity with semi-structured data (JSON, Parquet, Avro)
Software Engineering Mindset
Strong understanding of CI/CD, testing, version control, and infrastructure-as-code
Ability to balance architectural thinking with hands-on delivery
Nice to have
Financial Services Domain (Highly Preferred)
Experience with asset management data models (portfolios, holdings, trades, valuations)
Understanding of market data vendors and financial data workflows
Nice to Have
Experience with data cataloging and governance tools
Familiarity with real-time streaming technologies (e.g., Kafka)
Exposure to regulatory reporting or risk analytics platforms
Experience working in a SaaS or product-led environment
Languages
English: C2 Proficient
Seniority
Lead
London, United Kingdom of Great Britain and Northern Ireland
Req. VR-122650
BigData Development
BCM Industry
14/05/2026
Req. VR-122650
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