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Senior Manager, Snowflake AI & Data Client Solutions Lead, TC UKI Location: London Other locations: Primary Location Only At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want … build a better working world. Location: London, UK (Hybrid) Level: Senior Manager Practice: AI & Data Shape the Future of Data and AI with Snowflake This is a client-facing leadership role for someone who can work directly with senior business and technology stakeholders to identify high-value business problems, shape ...

client-facing leadership role for someone who can work directly with senior business and technology stakeholders to identify high-value business problems, shape Snowflake-based AI and data solutions, and lead delivery teams to build scalable outcomes.You will combine deep expertise in the Snowflake AI Data Cloud, Snowflake Cortex … Cortex Agents, Cortex Analyst, Snowpark, Snowflake data engineering, governance, secure data sharing and modern cloud data architecture with a strong consulting and commercial mindset.Snowflake is increasingly positioning Cortex AI as a way to build AI-powered analytics, work with structured and unstructured data, orchestrate data agents and keep AI close ...

Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google BigQuery, Alteryx, SSIS or Informatica Strong understanding of data warehouse and data lake principles Data modelling using Kimball, Inmon or Data Vault methodologies Experience ...

Understanding of data governance, data quality, and security practices. Familiarity with CI/CD pipelines and version control tools. Preferred Skills Experience with Databricks, Snowflake, Redshift, Synapse, or BigQuery. Knowledge of real-time streaming technologies such as Kafka. Exposure to Agile delivery methodologies. Experience in large-scale data transformation ...

knowledge transfer to production support teams. Required Skills & Experience Data Engineering & Development Strong expertise in SQL database development and optimization. Hands-on experience with: Snowflake DBT Azure Data Factory Python Experience designing and developing enterprise-scale data pipelines and integrations. Strong knowledge of data modeling, data warehousing, and ETL/ ...

data engineering frameworks. Experience deploying machine learning models into production. Strong knowledge of cloud platforms such as Azure, AWS or GCP. Experience with Databricks, Snowflake or similar data platforms. Knowledge of Infrastructure as Code tools such as Terraform. Experience with Kubernetes, Docker and CI/CD pipelines. Strong understanding ...

programming or query languages such as SQL, PL/SQL, Python, Java, Ruby or R.Experience with relevant modern data technologies such as BigQuery, Databricks, Snowflake, MongoDB, Hadoop, Redis, Kafka or similar.The ability to select technologies based on scalability, performance, security, interoperability and business requirements.Experience documenting complex architectures clearly through diagrams ...

with structured and semi-structured data formats including SQL tables, CSV, XML, JSON, and Parquet.Exposure to cloud-based data and analytics platforms such as Snowflake, Databricks, AWS, Azure, or Google Cloud.Familiarity with reporting and business intelligence tools such as Power BI, Tableau, ThoughtSpot, or similar platforms.Understanding of API-based integrations ...

data pipeline lifecycle development, including extensive experience with workflow orchestration tools (e.g., Apache Airflow, Dagster).Hands-on expertise with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift) and data lake architectures (e.g., Databricks, Delta Lake, Apache Iceberg).Advanced SQL skills and proficiency in Python. Strong background in modern software development practices ...

specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake**Please Note:**Security Clearance: **To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.** To obtain SC clearance, the successful ...

building and maintaining ETL/ELT pipelines Commercial experience working with Azure or AWS cloud platforms Experience with modern data platforms such as Databricks, Snowflake or Redshift Experience using orchestration tools such as Airflow, Azure Data Factory or Prefect Strong understanding of data warehousing and data modelling principles Excellent problem ...

retrieval. Familiarity with database technologies like PostgreSQL, MongoDB, CosmosDB, and SQL Server is also beneficial. Knowledge of data warehousing technologies such as Databricks SQL, Snowflake Warehouses, Amazon Redshift, and Google BigQuery is important for structuring and managing large volumes of data. Data engineers should be adept at Extract, Transform, Load ...

Azure)Experience with large-scale distributed data processing and performance tuningHands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience with SQL-based transformation ...

Traded Market Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions. Familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms. Knowledge of market data vendors, data mastering ...

specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks and Snowflake**Please Note:**Security Clearance: **To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.** To obtain SC clearance, the successful ...

Risk, Traded Market Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions.Familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms.Knowledge of market data vendors, data mastering, golden ...

processes, tools and best practices across the wider data community. Key Requirements Strong hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments. Advanced programming and data engineering skills in Python, PySpark and SQL, with a solid understanding of ETL pipelines and data transformation. ...

organizational adoption Data & Technical Proficiency Strong hands-on capability wi th SQL and data exploration too ls.Solid working knowledge of cloud data platforms (e.g., Snowflake, Databricks, BigQuery, AWS, Azur e).Conceptual understanding of data modeling practices, modern ETL/ELT architecture, APIs, and microservices .Exposure to modern BI tools (e.g. ...

scalable, reliable and maintainable data pipelines. Advanced working knowledge of SQL and Python. Experience working with modern cloud data platforms such as Microsoft Fabric, Snowflake, Databricks, Redshift or BigQuery. Experience within the Microsoft data ecosystem would be advantageous. Strong understanding of modern engineering practices including source control, CI/ ...

solutions and enterprise data pipelines. Experience with event-driven and messaging architectures. Data Platforms & Cloud Technologies Hands-on experience with: Azure Data Lake Databricks Snowflake Delta Lake Azure Synapse Analytics/Microsoft Fabric Spark/PySpark Strong understanding of: Data Lake and Lakehouse architecture Hybrid cloud environments Enterprise integration patterns ...

scalable, and production-ready.ResponsibilitiesData Platform ArchitectureLead the hands-on design, coding, and evolution of DFP’s cloud-native data architecture (AWS/GCP/Snowflake).Architect and implement scalable ingestion and transformation pipelines using Fivetran, Databricks, and Airflow/DBT.Design and code modular data services and APIs that unify campaign ...

experience with SQL • Excellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS • Experience with Data Warehouse databases like Snowflake/Redshift/BigQuery • Experience with Python/PySpark • Experience with implementing Rest APIs. • Experience with using and integrating BI tools such as QuickSight, Looker ...

skillsExperience building and maintaining ETL/ELT pipelinesCommercial experience working with Azure or AWS cloud platformsExperience with modern data platforms such as Databricks, Snowflake or RedshiftExperience using orchestration tools such as Airflow, Azure Data Factory or PrefectStrong understanding of data warehousing and data modelling principlesExcellent problem-solving skills with ...

migrations Expert-level SQL/T-SQL with proven experience refactoring and optimising complex logic Hands-on experience with cloud data warehouses (e.g. BigQuery, Snowflake), ingestion tools (Airflow, Airbyte), and analytics tooling such as dbt and Power BI Strong working knowledge of Git/version control, CI/CD pipelines ...

from candidates with experience in one or more of the following: Languages: Python, SQL, C#, Golang, Java, Kotlin, TypeScript, or Rust Data Platforms: BigQuery, Snowflake, Redshift, Databricks, PostgreSQL, MySQL, MongoDB, or other SQL/NoSQL technologies Data Tooling: Airflow, dbt, AWS Glue, Step Functions, Spark, Hadoop, or similar tooling Infrastructure ...