Senior Snowflake Consultant - Data & AI Engineering

Location: London; UKWork type: HybridSeniority: SeniorPrimary skill: Data Software EngineeringPosted: 2026-11-02When data platforms are pushed to their limits, only the most robust solutions stand up to the challenge. The Senior Snowflake Consultant role in London is part of a practice recognized for building solutions that set the standard in analytics and artificial intelligence.

Demand from clients continues to accelerate as organizations seek to unlock value from their data at scale. This growth is driven by the proven impact and technical depth of the Data practice, which consistently delivers results in complex enterprise environments.

The person in this role shapes how data-driven decisions are made in high-stakes settings. ResponsibilitiesCollaborate with clients to understand business goals, data requirements and success measuresLead technical discovery and translate complex requirements into scalable data platform and AI-ready solutionsDesign, develop and implement Snowflake solutions, including data modelling, performance tuning and secure access patternsRapidly prototype and de-risk high-stakes initiatives by turning ambiguous problems into working technical solutionsArchitect and deliver end-to-end pipelines and data products across ingestion, transformation, orchestration and consumption layersEmbed directly with client/EPAM engineering teams to co-develop production-grade pipelines and platform componentsImplement governance, security and compliance best practices, including RBAC, masking, auditing and data access controlsEngage senior stakeholders to drive decisions, trade-offs, prioritisation and delivery alignmentLead delivery teams to ensure quality, timelines and client satisfaction across engagementsSupport account growth through opportunity identification, solution shaping, estimation, proposals and client presentationsRequirementsBachelor’s or Master’s degree in Computer Science, Engineering or a related discipline, or equivalent practical experienceExtensive experience in data engineering, analytics engineering or data platform delivery in consulting or professional services environmentsProven hands-on Snowflake implementation expertise across architecture, ELT patterns, data modelling and performance optimisationStrong experience with cloud platforms (AWS, Azure and/or GCP) and cloud-native data servicesStrong understanding of data governance and security in enterprise environments, including access control and privacy requirementsDemonstrated ability to take solutions from prototype to production with operational readiness and reliability in mindExcellent problem-solving skills and the ability to work effectively with ambiguous requirements and evolving prioritiesStrong stakeholder management skills, with the ability to influence and communicate credibly at senior levelsExperience leading delivery teams and coordinating cross-functional contributors to deliver outcomesStrong commercial awareness, including experience contributing to scoping, estimation and proposal developmentNice to haveSnowflake ecosystem experience with tools such as dbt, Airflow/Dagster, Matillion/Fivetran, Kafka/Kinesis/Event Hubs or similarExperience with Snowflake capabilities such as Snowpark, Streams & Tasks, Dynamic Tables, Data Sharing or Iceberg tables, CoCo, CoWork, Cortex Analyst and Search and Semantic ViewsExperience enabling ML/AI workloads through feature-ready datasets, governed access patterns and collaboration with MLOps teamsCI/CD and DevOps practices for data, including Git-based workflows, automated testing and environment promotionFamiliarity with cost management and performance optimisation practices in cloud data platformsSnowflake and other cloud certifications (AWS, Azure or GCP)Experience in forward-deployed, solutions engineering or high-intensity client delivery environmentsWe offerEPAM Employee Stock Purchase Plan (ESPP)Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social eventsLearning and development opportunities including in-house training and coaching, professional certifications, and coursesIf otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program*All benefits and perks are subject to certain eligibility requirements

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