Data and Analytics Lead

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.