Top Data & Analytics Jobs

Design, build, and optimize Snowflake-based data platform: develop ELT pipelines, data models, governance, security, performance tuning, cost optimization, CI/CD, and advanced Snowflake features. Collaborate with stakeholders, mentor engineers, and deliver scalable data solutions for analytics.

Lead architecture, build, and scale a Databricks lakehouse: design batch/streaming pipelines, enforce governance with Unity Catalog, optimize Spark workloads, operationalize ML (MLflow), manage cloud/IaC, mentor engineers, and partner with stakeholders on roadmap and security/compliance.

Lead design and implementation of an enterprise Databricks lakehouse, build scalable batch and streaming pipelines, enforce governance and CI/CD standards, optimize Spark workloads, operationalize ML with MLflow, manage cloud infrastructure and IaC, and mentor data engineering teams.

Build and maintain scalable ETL pipelines and databases to ingest, transform, reconcile, and deliver OTC derivatives data for regulatory, operational, and business reporting. Develop SQL objects, stored procedures, and automated reports; enforce data quality, governance, and security controls; participate in Agile delivery, CI/CD, and production support.

Build and maintain Java-based backend and scalable data pipelines while migrating legacy ETL from on-prem (Teradata) to cloud-native platforms (Databricks, Snowflake). Collaborate with engineering and architecture teams on modernization, performance tuning, testing, deployment, and production support for enterprise-scale distributed data systems.

Lead client-facing data solutioning and pre-sales within Consumer verticals, design and translate architectures into delivery, maintain ~50% billable involvement, drive pipeline growth and close complex data opportunities while ensuring information security and privacy compliance.

Design, develop, and support relational databases for global trading applications. Responsibilities include database architecture, schema design, SQL/stored procedure development, performance tuning, capacity planning, ETL pipeline maintenance, deployments, on-call production support, and collaboration with global teams to deliver continuous improvements.

The Regulatory Reporting Developer will develop applications for regulatory reporting using Java, Python, and Scala/Spark, manage data integration, and build Power BI dashboards, ensuring compliance and optimizing business logic.

The Senior Adobe Analytics Consultant promotes information security practices, assesses security risks, ensures data protection compliance, and integrates security measures throughout the information lifecycle.

Design, build, and optimize Databricks Lakehouse data platforms and production ETL/ELT pipelines using PySpark, Delta Lake, and medallion architectures. Implement governance with Unity Catalog, manage CI/CD and IaC, optimize Spark and clusters for performance/cost, collaborate with data science and analytics teams, and mentor engineers while driving observability and security/compliance practices.