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Senior Solutions Architect (Databricks Specialist)
Lead the design and migration to a Databricks-based data platform for a regulated financial services firm, defining target-state architecture, governance, and standards while enabling AI/ML and analytics at enterprise scale.
Senior Solutions Architect (Databricks Specialist)
Lead data modernization architecture using Databricks and Azure within a regulated financial services environment.
Senior Solutions Architect (Databricks Specialist)
Lead Databricks data modernization in a financial services environment, defining architecture and governance for migration from SQL ecosystems to modern cloud platforms.
Senior Solutions Architect
Lead the architectural design and governance of a Databricks-based data platform modernization in a regulated financial services environment, transitioning from SQL Server/Microsoft ecosystems to a cloud Lakehouse architecture.
Senior Solutions Architect
Senior Solutions Architect (Databricks Specialist) providing strategic direction for data modernization in a financial services environment, focusing on transitioning from Microsoft/SQL Server to Databricks-based data platform, defining architecture, governance, and standards.
Senior Solutions Architect
Senior Solutions Architect (Databricks Specialist) supporting a financial services data modernization program, defining target-state architecture, governance, and standards while guiding Data Engineering teams on Databricks, Azure, and AI/ML platforms.
Senior Solutions Architect (Databricks Specialist)
Leads the shift from legacy Microsoft/SQL Server systems to a modern Databricks-based data platform, defining architecture, governance, and standards for a regulated financial services firm.
M60 - Full Stack Engineer
Senior Full Stack Engineer with a focus on data infrastructure, designing and owning end-to-end data pipelines, storage, and retrieval systems while contributing to broader product architecture and AI-ready system design.
Senior Data Engineer
Senior Data Engineer to design, build, and optimize enterprise scale data platforms using Databricks, Python, and PySpark. This role focuses on developing high-performance batch and real-time data pipelines, implementing modern data engineering frameworks, and delivering reliable, governed data solutions.
Principal Solutions Architect - Data Engineering
Designs and implements large-scale data solutions for global enterprises using cloud platforms like Snowflake, AWS, and Azure, while leading teams and advising clients on modern data engineering practices.
Senior Data Platform Engineer
Senior Data Platform Engineer at DigiCert designing, building, and operating foundational data and ML infrastructure on Databricks, using Python, SQL, and Spark to power analytics and machine learning across the organization.
Data Engineer - Berlin (m/w/d)
Develop and maintain scalable ETL/ELT pipelines and data infrastructure using Python, Apache Spark, and GCP technologies.
Senior Analytics Engineer
Senior Analytics Engineer at Optum uses Databricks, SQL, and Python to explore large datasets, validate hypotheses, and collaborate with stakeholders to inform product direction, focusing on experimentation and discovery in healthcare.
Software Engineer II
Build and maintain customer-facing features, REST APIs, backend services, and data workflows for an AI-driven cybersecurity threat detection platform, primarily using Python and relational databases.
Lead Data Engineer - Fabric
Lead Data Engineer responsible for designing, developing, and managing modern data platforms using Microsoft Fabric. The role involves building ETL/ELT pipelines, implementing Lakehouse structures, ensuring data governance, and mentoring junior engineers.
Databricks Architect (Lead Data Platform Architect)
Design and scale enterprise-grade Databricks Lakehouse platforms using Spark, Delta Lake, and cloud ecosystems. Drive architecture strategy and data modernization initiatives.