Data Analytics Lead

7 days ago

Singapore Capgemini Full time

Job Description Are you passionate about designing innovative data solutions that align with business strategies and drive organizational transformation? We are seeking a seasoned Data and Analytics lead to lead the design, development, and implementation of enterprise data strategies and architectures. If you have extensive experience in data engagements and a strong background in banking domains, we'd love to hear from you. Architecture and Strategy Understand existing landscapes, client capabilities, and requirements to design scalable, high-performance, and reliable data solutions. Build data pipelines to ingest, store, process and publish data, data models and Unit testing Develop enterprise data strategies aligned with business objectives, including data roadmaps and transformation projects. Design and implement various data architecture models, including data warehouse, integration, and business information models. Provide strategic guidance, roadmaps, and detailed implementation plans for data solutions. Leadership and Development Lead cross-functional teams to design and develop data solutions as per proposed architectures. Act as the primary point of contact for architecture design and development queries. Identify and adopt new technologies and methodologies to enhance performance, automation, and scalability. Business Development Support Collaborate with the sales team to shape and design solution architectures for proposals. Participate in client meetings, addressing technical and strategic concerns. Governance and Compliance Define and implement data governance frameworks, including assessments, roadmaps, and execution plans. Ensure compliance with analytical, regulatory, and compliance reporting requirements. Key Responsibilities Primary Skills 15+ years of experience in data engagements, including leading data strategies, roadmaps, and implementations. Expertise in data architecture methodologies, including enterprise data strategy, data models (ER, star schema, normalized/denormalized), and lifecycle management. Proven banking domain knowledge and experience with regulatory compliance and reporting. Strong experience in data migration strategies, including planning, costing, and execution. Master Data Management expertise, with tools such as Informatica MDM, Stibo PIM, Talend Data Fabric. Technical Proficiencies Required Skills: Spark SQL (Python) +ADO CICD; Spark Structure Streaming (Python) + ADO CICD, Java + Spark Scala + ADO CICD Data and Architecture Tools: PowerDesigner, ArchiMate, Toad, ERWin. Databases: PostgreSQL, Oracle, SQL Server, DB2, Teradata, Hive, Pig, Impala, MongoDB, Cassandra, HBase, Snowflake. Programming and Scripting: SQL, PL/SQL, NoSQL, Shell scripting, T-SQL, DAX. Design Methodologies: Inmon and Kimball methodologies, hierarchical models. Cloud and Web Tools: Amazon AWS, WordPress, Google Analytics/GTM. Additional Skills Familiarity with TOGAF for architecture frameworks and DAMA-DMBOK for data management. Experience in tools like MS Project, JIRA, and rLean for management.

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