Data Analyst / Engineer

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses.  We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

We are seeking a highly experienced Senior Lead Data Engineer / Data Analyst to lead enterprise-wide data engineering, analytics, reporting, and regulatory data initiatives within the Banking and Financial Services domain. The ideal candidate will possess strong expertise in Data Engineering, Python, SQL, PLSQL, ETL/ELT, Snowflake, Data Warehousing, MicroStrategy Reporting & BI, ODI, and Data Analytics, coupled with deep functional knowledge across Lending, Risk, Securities, Tax, Payments, Treasury, and Customer Data Management. This role will be responsible for driving data strategy, data integration, business intelligence, regulatory reporting, and stakeholder engagement while ensuring data quality, governance, and operational excellence across critical banking data platforms Key Responsibilities Data Engineering & Data Platform Management Lead the design, development, and enhancement of enterprise data warehouse and data lake solutions. Build and support scalable data pipelines, ETL/ELT frameworks, and reporting data marts. Drive data integration initiatives across multiple banking platforms and source systems. Establish data quality, reconciliation, lineage, metadata, and governance standards. Ensure high availability, scalability, and performance of enterprise data platforms. Data Analysis & Business Intelligence Analyze large and complex datasets to generate business insights and support decision-making. Develop reporting frameworks, executive dashboards, KPI scorecards, and management information systems. Perform data profiling, trend analysis, root cause analysis, and business impact assessment. Translate business requirements into actionable analytical and reporting solutions. Partner with business stakeholders to improve reporting accuracy and operational efficiency. Oracle & SQL Development Design and optimize Oracle database solutions supporting enterprise reporting and analytics. Develop complex SQL and PL/SQL programs, procedures, packages, functions, and performance tuning solutions. Perform data extraction, validation, transformation, and reconciliation activities. Troubleshoot database performance, data integrity, and reporting-related issues. Lending Data Management Support end-to-end lending data covering loan origination, servicing, repayments, collateral, and exposure management. Develop reporting and analytical solutions supporting credit risk and lending operations. Ensure accurate lending data integration across upstream and downstream systems. Risk & Regulatory Reporting Support enterprise risk data platforms and regulatory reporting initiatives. Perform data validation, reconciliation, and controls testing to meet compliance requirements. Partner with Risk, Finance, Compliance, and Audit teams to ensure reporting accuracy. Support internal and external regulatory reporting submissions. Securities & Capital Markets Data Support securities reference data, trading, settlements, custody, and investment reporting functions. Manage reconciliations and reporting across securities and capital market platforms. Analyze transaction and holdings data to support operational and regulatory requirements. Tax Data & Compliance Reporting Support tax reporting processes and regulatory compliance requirements. Validate tax-related data and ensure data integrity across reporting platforms. Support audit, compliance, and regulatory data requests. Payments Data Management Support