Vice President, Senior Data Engineer

Sumitomo Mitsui Financial Group, Inc.

Charlotte, NC • 1h ago • On-site

Senior

On-site

158,746 - 180,000 USD/yr

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Potential salary for Vice President, Senior Data Engineer role

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$158,746 – $180,000/year

Quick Facts

  • Role: Vice President, Senior Data Engineer

  • Work mode: Hybrid remote work permitted (live within reasonable commuting distance of office)

  • Compensation: $158,746.00 to $180,000.00, plus potential annual discretionary incentive award

Description

Architect, develop, and deploy advanced cloud-native data solutions for risk management, regulatory compliance, financial reporting, and governance frameworks. Lead on-premises to cloud migration efforts and partner with business and technology stakeholders to design and implement scalable, secure, high-performance data platforms. Work in agile teams to align priorities, distribute development tasks, and share technical knowledge.

Role Objectives

  • Architect cloud-native data solutions using Microsoft Azure, Gen 2, and Databricks

  • Lead on-premises to cloud migration initiatives for system modernization

  • Elicit and analyze complex business requirements; identify operational inefficiencies to drive application and data design

  • Collaborate with IT architects, database administrators, and cybersecurity teams to meet security, scalability, and performance requirements

  • Coordinate with other technology and development teams to ensure integration with the enterprise software ecosystem

  • Participate in agile development meetings for priority alignment, task distribution, and knowledge sharing

Requirements

  • Bachelor’s degree in computer science, computer engineering, information systems, or a related field

  • 7+ years of progressively responsible experience

  • Cloud data engineering experience

  • Large-scale data pipeline development using PySpark, SQL, and distributed data processing frameworks

  • Advanced SQL and relational database expertise, including Databricks

  • ETL/ELT design using ADF, Databricks, SQL, DataStage, and data quality/data governance frameworks

  • Technical leadership experience

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