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Strong bank brand, generic lead engineering title, and broad required tech stack increase applicant competition.
Data engineering skills are transferable, but banking domain and Power Platform specifics increase sector sensitivity.
Specific mandatory tech stack and regulated banking context create strict technical and compliance filters.
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Lead design and implementation of enterprise data solutions using SQL Server, Informatica, SSIS, SSRS, Power Platform, cloud-native, and AI technologies.
Coordinate cross-functional teams including Data Engineering, Reporting, Cloud, QA, Infrastructure, and Risk/Security for solution delivery.
Provide technical leadership, mentoring, resource planning, conduct technical interviews, and participate in governance forums to drive engineering excellence and business value.
Experience with SQL Server, Informatica, SSIS, SSRS, Power Platform, cloud-native services, and AI technologies.
Work Experience Required: Not explicitly mentioned in the JD.
Must be able to lead cross-functional technical teams and participate in governance processes.
Not explicitly mentioned: mandatory degree, notice period, or location constraints.
Experienced in strategic technical leadership with strong hands-on skills in data engineering and cloud modernization.
Able to collaborate effectively with product owners, architects, and multiple stakeholders to define and execute scalable solutions.
Competent in mentoring teams and managing staffing needs including contractor/consultant engagements.