Data and Analytics Lead

1 day ago

Singapore Capgemini Full time $150,000 - $200,000 per year
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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