Data Architecture & Engineering - Manager - Financial Services - Consulting

Responsibilities: Deliver data and analytics services as part of diverse, cross‑geography teams Solve complex data issues and drive growth for financial services clients Lead and coach diverse teams, providing SME-level guidance Build strong client relationships and identify business opportunities Initiate thought leadership through white papers, POVs, and proofs of concepts Participate in an entrepreneurial environment to shape your career path

Key requirements: Undergraduate or master's degree in a quantitative field 6+ years of relevant experience in banking, capital markets, insurance, or asset management Strong verbal and written communication to diverse audiences Ability to work independently under tight deadlines and deliver results Strong analytical and problem‑solving skills Experience with requirements gathering, meetings, presentations, and client deliverables Prior project management and client‑facing experience Excellent leadership and teamwork skills Strong organizational and time management abilities Willingness to travel up to 60% and valid passport DAE‑specific experience in data architecture and engineering solutions Experience with strategic data architecture and engineering, cloud data modernization, big data initiatives, event‑driven architecture (financial services focus) Experience architecting large data platforms, data warehouses, streaming apps, data ingestion/integration/distribution pipelines Hands‑on with data technologies: cloud data platforms (AWS, Azure, Google, Databricks, Snowflake), Hadoop ecosystem, traditional RDBMS, NoSQL, streaming (Kafka, Spark), DevOps (Github, Kubernetes, Jenkins, Terraform), and data modeling (DataVault, Star, Snowflake) Leadership and collaboration Strong communication and stakeholder management Curiosity and adaptability Data architecture and engineering Cloud data platforms (AWS, Azure, Google, Databricks, Snowflake) Big data and distributed processing (Hadoop, Spark, Kafka)