Data Visualization Sr Analyst/AVP

Job Description :

• Analyze and integrate data from multiple disparate systems using data virtualization platforms to enable seamless data access and analysis.
• Design and implement data mesh and data fabric architectures to support decentralized data ownership, governance, and scalable data access across the organization.
• Perform federated queries to retrieve and analyze data from multiple distributed data sources efficiently.
• Collaborate with stakeholders to define user and business personas, ensuring that data solutions align with business requirements and deliver measurable value.
• Work closely with business users and technical teams to translate functional requirements into technical designs for successful implementation and deployment.
• Develop and manage ETL processes to extract, transform, and load large volumes of structured and unstructured data into AWS data lakes, Snowflake, and other cloud-based data warehouses.
• Collaborate with cross-functional teams to build prototypes, develop design artifacts, implement components, and support SIT and UAT testing, including issue triaging and bug resolution.
• Optimize and enhance data pipelines to improve performance, scalability, and reliability of data processing workflows.
• Implement data quality and validation frameworks to ensure data accuracy, consistency, and integrity across data platforms.
• Provide analytical and technical expertise to design business intelligence and data integration solutions that support reporting and advanced analytics.
• Convert data integration models and technical design specifications into high-quality, maintainable source code.
• Ensure high performance, reliability, and scalability of data integration systems to meet evolving business and analytical needs.

• 5+ years of experience working with data virtualization, data mesh, data fabric, and federated querying platforms such as Denodo, Starburst, or other open-source solutions.
• 5+ years of experience as a Report Visualization Engineer using platforms such as Power BI, Tableau, Axiom, or similar reporting tools, with end-to-end delivery experience.
• 3+ years of experience in implementing regulatory reporting solutions, preferably within the banking or financial services domain.
• 3+ years of experience in data modeling, data governance frameworks, and Row-Level Security (RLS) implementation.
• 3+ years of experience in enterprise deployment strategies, including migration of reports from legacy platforms to modern reporting and analytics platforms.
• Hands-on experience in ETL development, extracting, transforming, and loading large volumes of structured and unstructured data into AWS data lakes or modern data platforms such as Snowflake.
• Experience supporting Data Management Engineering teams in areas such as data pipeline engineering, data services, data access engineering, ETL, and BI design frameworks.
• Strong understanding of data modeling concepts, database design principles, and ETL best practices.
• Experience working with data lakes, data warehouses, and distributed data processing systems.
• Familiarity with data governance, data security, and compliance practices in cloud environments.
• Strong analytical and problem-solving skills, with the ability to optimize and enhance data pipelines and Spark jobs for performance and scalability.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional team environments.
• Relevant certifications in Tableau, Power BI, Snowflake, or Starburst are considered an advantage.
• Experience with Regulatory Reporting tools such as Axiom will be an added advantage.
• Exposure to Microsoft Power Platform tools (Power Apps, Power Automate) is a plus.