Top Data & Analytics Jobs

Design and implement data engineering, governance, Collibra, metadata management, and data lineage solutions for financial services clients. Establish data quality standards, governance controls, ownership workflows, and regulatory data practices. Integrate and optimize data pipelines and governance tools while collaborating with architects, business stakeholders, and technology teams. The role requires strong SQL, ETL/ELT, data governance, and Collibra expertise, with optional cloud, DevOps, Agile, and financial services experience.

Design and deliver enterprise data architecture solutions for financial services clients using Informatica IDMC and Collibra. Lead data integration, metadata management, data quality, governance, and lineage initiatives; establish architecture standards and controls; guide technical delivery teams; and translate client requirements into scalable solutions. Build stakeholder relationships, support consulting engagements, and ensure compliant, sustainable data environments.

Design, develop, and optimize enterprise data pipelines and ETL/ELT integrations using Informatica IDMC. Build transformation workflows, integrate multiple data sources into cloud and enterprise environments, troubleshoot performance and data quality issues, and implement testing and monitoring. Collaborate with architects, analysts, engineers, and business stakeholders to deliver scalable data solutions, primarily for financial services clients.

Leads enterprise data architecture across complex transformation programs, defining target-state architectures, data models, integration patterns, and scalable cloud data platforms. Designs solutions using Snowflake, dbt, ETL/ELT, microservices, REST APIs, and API gateways. Establishes data governance, modeling, metadata, security, and architecture standards; conducts design reviews; evaluates risks and dependencies; documents decisions; and guides engineering teams while engaging senior stakeholders and governance forums.

Designs, develops, and maintains scalable batch and streaming data pipelines using Python, Scala, Spark, and Databricks. Responsibilities include optimizing large-scale data workloads, building ETL/ELT processes, modeling data warehouses and lakes, implementing data quality and governance standards, troubleshooting production issues, and collaborating with architects, analysts, and data scientists.

Enhance and potentially redevelop a critical Finance Data Mart supporting business finance reporting in private banking. Analyze and validate financial data, including AuM, NNM, and RoA metrics; investigate discrepancies; and improve data quality and platform capabilities. Translate finance requirements into technical solutions while collaborating with IT, data, and finance stakeholders. The role requires strong SQL, database, data engineering, analytical, and financial knowledge.

Design, build, and optimize Snowflake-based cloud data platforms and scalable ELT/ETL pipelines for financial-services clients. The role involves data integration, modeling, governance, performance and cost optimization, advanced Snowflake capabilities, stakeholder collaboration, technical leadership, mentoring, and delivery of client projects in an Agile environment. The one-year engagement requires relocation to Qatar.

Lead end-to-end data migration projects for financial services clients, including extraction, transformation, validation, testing, cutover, and post-migration support. Build and optimize data pipelines, manage migration plans, coordinate business and technical stakeholders, provide client updates, and resolve risks, data quality issues, and delivery challenges.

Design and implement knowledge graph, semantic modeling, and advanced data solutions for financial services clients. Identify use cases for graph technologies, analytics, and AI; apply responsible AI workflows; explain complex approaches to stakeholders; and contribute to consulting practice growth through thought leadership, ecosystem development, and talent development.

Develop and maintain Alteryx automation workflows for data preparation, reconciliation, reporting, validation, and exception management. Design preventive and detective controls, document data lineage, investigate data-quality issues, and support testing, releases, production implementation, and remediation. Collaborate with technology, operations, risk, control owners, and data stakeholders to standardize processes, improve efficiency, and strengthen control effectiveness.