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Job Description Ford Credit's Tech Team in India is actively seeking a highly skilled and experienced Senior Test Data Management Engineer to join our team. In this crucial role, you will be responsible for defining, implementing, and managing test data strategies and solutions specifically for our complex financial applications. Leveraging your deep expertise with IBM Optim, you will ensure that our testing environments are populated with realistic, compliant, and high-quality data, enabling robust and efficient testing across various phases. You'll play a key role in safeguarding sensitive financial data through effective masking and subsetting techniques while supporting our development and QA teams This is a senior-level position requiring deep technical expertise, strategic thinking, and the ability to mentor others and drive TDM excellence throughout the organization. Responsibilities Test Data Management Engineer - Role & Responsibilities : TDM Strategy & Design: Define, develop, and implement comprehensive Test Data Management (TDM) strategies, frameworks, and processes tailored for financial applications. Analyze complex application data models and relationships to design effective data subsetting, masking, and generation solutions using IBM Optim. Collaborate with stakeholders (QA, Development, Business Analysts, Compliance) to understand test data requirements and translate them into technical TDM solutions. TDM Solution Implementation & Management: Design, configure, and execute TDM processes using relevant TDM tools (subsetting, masking, generation, synthetic data creation, data refresh). Implement and manage data masking/obfuscation techniques to comply with data privacy regulations (e.g., GDPR, CCPA, etc.) and internal policies for sensitive financial data. Manage the lifecycle of test data environments, including planning refresh cycles, executing data provisioning requests, and managing data retention. Troubleshoot and resolve complex test data-related issues across different environments. Data Analysis & Provisioning: Perform in-depth data analysis to identify critical data elements, sensitive data, and complex data relationships required for various testing cycles (functional, performance, UAT). Provision timely and relevant test data sets to different testing environments based on project needs. Troubleshoot and resolve test data-related issues, ensuring data integrity and quality. Compliance & Security: Ensure all TDM activities adhere strictly to internal data governance policies and external financial regulations regarding data privacy and security. Work closely with Compliance, Security, and Audit teams to validate TDM processes and controls. Performance & Automation: Optimize IBM Optim processes and underlying database interactions for performance and efficiency. Identify opportunities for automation in test data provisioning and management workflows. Collaboration & Business Alignment: Establish and promote TDM best practices, standards, and guidelines across the organization. Create and maintain detailed documentation for TDM processes, tools, and environments. Work closely with Database Administrators (DBAs) to manage test data storage, performance, and access. Collaborate with DevOps engineers to integrate TDM processes into CI/CD pipelines where applicable. Collaborate closely with Product Owners, Business Analysts, Software Engineers, to understand complex financial requirements, define precise testing criteria, and prioritize automation efforts. Qualifications Must Have: 10+ years of overall experience in IT, with a strong focus on Quality Assurance, Data Management, or Software Engineering. 6+ years of dedicated experience in Test Data Management (TDM). Proven experience implementing and managing TDM solutions for complex enterprise applications, preferably in the financial services industry. Strong Hands-on experience with industry-standard TDM tools like IBM Optim and Opensource tools Experience working in highly regulated environments with a strong understanding of data privacy and compliance challenges in finance. Strong SQL skills and experience working with various relational databases (e.g., Oracle, SQL Server, DB2, PostgreSQL , BQ, etc). Solid understanding of data modeling concepts and database structures. Proficiency in data masking, subsetting, and synthetic data generation techniques. Experience with scripting languages (e.g., Python, Shell, Perl) for automation and data manipulation. Experience with RBAC and have worked with Infra teams to achieve CI/CD automation to produce masked test data from production on demand. Familiarity with Linux/Unix command line. Solid understanding of data refreshers process Solid understanding of financial industry data structures, workflows, and testing challenges (e.g., trading, payments, banking, accounting, regulatory reporting). In-depth knowledge of relevant data privacy regulations (e.g., GDPR, CCPA, etc.) and their impact on test data handling. Excellent analytical and problem-solving skills with the ability to tackle complex data challenges. Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical stakeholders. Must have experience working with US public companies, with a strong understanding of security processes and how to apply them to Test Data Management (TDM) to ensure compliance with regulations. Ability to work effectively both independently and as a leader or contributor within a team. Proven ability to mentor junior team members and drive adoption of best practices. Nice to Have: Experience with specific TDM tools like, Informatica TDM, Alteryx , PyETL,Deequ, Google DVT, etc Experience with data virtualization tools. Experience with AI for Synthetic Data Generation. Experience with cloud platforms (AWS, Azure, GCP) and cloud database services. Experience integrating TDM processes into CI/CD pipelines. Familiarity with performance testing concepts and data needs. Relevant certifications in TDM, databases, or cloud technologies. Preferred Qualification: Bachelor’s Degree in Computer Science, Engineering or equivalent work experience Min of 6+ Test Data Management Engineer Show more Show less
