Senior Databricks / Snowflake Data Architect – BestX

We are seeking an experienced Senior Databricks / Snowflake Data Architect to join the BestX engineering team. In this role, you will lead the design and evolution of BestX's next-generation cloud-native data platform, leveraging Databricks, Snowflake, and modern data engineering technologies to support multi-asset Transaction Cost Analysis (TCA), analytics, and reporting capabilities.

The ideal candidate combines strong data architecture expertise with a hands-on engineering mindset and a passion for evaluating emerging technologies. You will help shape the strategic direction of our data platform through rapid prototyping, proof-of-concepts, and scalable production implementations

Key Responsibilities

Design and develop the architecture for BestX's next-generation multi-asset TCA and analytics platform

Lead technology evaluations, proof-of-concepts, and rapid prototyping initiatives across modern data platforms and cloud-native technologies

Architect and implement scalable data Lakehouse solutions using Databricks, Snowflake, and cloud-native services

Design high-performance data models, ingestion frameworks, and transformation pipelines supporting both real-time and batch processing workloads

Establish best practices for data governance, lineage, security, metadata management, and platform observability

Build and optimise analytical platforms capable of processing large-scale market, transaction, and reference datasets

Work closely with quantitative researchers, product teams, and engineering teams to translate business requirements into scalable technical solutions

Define architectural standards and technology roadmaps for data warehousing, Lakehouse, streaming, and AI/ML workloads

Drive adoption of modern Agile, DevOps, CI/CD, Infrastructure-as-Code, and DataOps practices

Develop a strong understanding of Transaction Cost Analysis (TCA), best execution workflows, and relevant regulatory requirements including MiFID II and MiFIR

Mentor engineering teams and provide technical leadership across strategic platform initiatives

Take ownership of architecture decisions from concept through production delivery

Core Skills and Experience

Experience in designing and implementing enterprise-scale data platforms.

Strong hands-on experience with Databricks , including Delta Lake, Unity Catalog, Spark, Structured Streaming, and Lakehouse architecture

Strong hands-on experience with Snowflake , including data modelling, performance optimisation, Snowpark, data sharing, and governance capabilities

Expertise in Apache Spark , Python, SQL, and modern ELT/ETL frameworks

Proven ability to rapidly evaluate, prototype, and compare emerging technologies and architectural patterns

Experience designing large-scale analytical platforms supporting high-volume and high-velocity datasets

Strong understanding of data architecture principles including dimensional modelling, Data Vault, Lakehouse methodologies, and distributed computing

Experience with cloud platforms, preferably AWS , including services such as S3, EMR, Glue, ECS/EKS, Lambda, and related analytics services

Experience building streaming architectures using technologies such as Kafka, Spark Streaming, Event Bridge, or equivalent

Deep understanding of data governance, security, lineage, and regulatory controls in financial services environments

Strong software engineering and DevOps mindset, including CI/CD and Infrastructure-as-Code

Excellent stakeholder management and communication skills, capable of influencing architecture decisions across multiple teams

Preferred Skills

Experience building analytics platforms for capital markets , including FX, Fixed Income, Equities, or Derivatives

Knowledge of Transaction Cost Analysis (TCA), execution analytics, and market microstructure

Experience with AI/ML platforms, feature stores, and MLOps frameworks

Experience evaluating alternative analytical databases such as DuckDB, ClickHouse, Redshift, BigQuery, KDB+, or Apache Iceberg-based architectures

Experience with data catalogue and governance platforms

Exposure to modern visualisation and BI tools such as Power BI, Tableau, Sigma, or ThoughtSpot

Experience leading cloud migration or platform modernisation initiatives

Experience operating in highly regulated financial services environments

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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