Lead Data Engineer - Strategic Data Provisioning Data Engineer

Requirements

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Deep subject matter expertise in wealth and asset management, covering customer, account, position, transaction, and/or reference data domains
• Proven execution ability in a matrixed and complex environment with the ability to influence people at all levels of the organization
• Experience in strategic or transformational change initiatives, including data governance, data quality, or analytics transformation programs
• Strong technical skills in data profiling, analysis, and data management using modern tools and environments (Python, R, SQL, Spark, cloud platforms)
• Understanding of data lineage concepts and experience with lineage analysis, metadata management, and data cataloging
• Excellent communication skills with the ability to convey complex technical concepts to diverse audiences including executive leadership
• Ability to work in a highly collaborative and intellectually challenging environment
• Willingness to challenge the status quo, think creatively, problem-solve, and drive innovation
• Experience with data quality frameworks, including profiling, rule development, issue remediation, and preventative controls
• Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity
• Ability to review and validate AI-assisted outputs (e.g., model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements

Nice to have:

• Strong proficiency in data science and analytics tools: Python, R, SQL, Spark, and cloud data platforms (AWS, Azure, GCP)
• Experience with data visualization and reporting tools (e.g., Tableau, Power BI) to deliver executive dashboards and performance metrics
• Hands-on experience with data lineage tools and techniques, including graph databases and metadata management platforms
• Knowledge of data governance frameworks, data quality dimensions, and regulatory requirements (e.g., BCBS 239, GDPR)
• Experience with AI/ML technologies and their application to data management challenges (e.g., automated data profiling, metadata enrichment)
• Understanding of agile and product management methodologies and experience working in agile teams
• Ability to multi-task in a fast-paced environment and operate independently with minimal supervision
• Strong judgment with the ability to balance strategic vision with pragmatic, incremental delivery
• Experience building and growing capabilities and developing talent in data science or data management teams
• Excellent interpersonal skills and ability to build strong working relationships with business, technology, and control stakeholders across global teams

About the Company

JPMorganChase offers a journey of collaboration and innovation where unique skills and talents are valued and celebrated to create a brighter future and make a meaningful difference.

Headquarters

Bengaluru

Open jobs

1719

Website

jpmorganchase.com