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Tier-1 brand and metro location increase competition, niche Informatica/SSIS skills reduce applicant pool.
Core data engineering and ETL skills transfer across industries, but banking and Power Platform knowledge raises domain bias.
Bank-regulated environment with specific data stack and leadership expectations demands strict screening.
Lead design and implementation of enterprise data solutions using SQL Server, Informatica, SSIS, SSRS, Power Platform, cloud-native, and AI technologies.
Drive cross-functional collaboration with Data Engineering, Reporting, Cloud, QA, Infrastructure, and Risk/Security teams for successful delivery.
Provide technical leadership and mentoring in data engineering, cloud modernization, Power Platform, and AI, including participating in governance forums and conducting technical interviews.
Experience required: Not explicitly mentioned in the JD
Mandatory technical skills include SQL Server, Informatica, SSIS, SSRS, Power Platform, cloud-native services, and AI technologies.
Must have experience leading cross-functional teams and collaborating with Product Owners, Business Analysts, and Architects.
Compliance with organizational requirements like mandatory training, time reporting, and operational governance processes.
Experienced in strategic planning and hands-on delivery of scalable enterprise data solutions in a complex organizational environment.
Demonstrates strong leadership with ability to mentor and coach technical teams across multiple data and cloud technologies.
Skilled in multi-stakeholder collaboration involving product, architecture, QA, and risk/security teams for enterprise data initiatives.