Vice President, Senior Data Engineer

Sumitomo Mitsui Financial Group, Inc.

Port Charlotte, FL • 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

  • Focus: Cloud-native data engineering for risk management, regulatory compliance, financial reporting, and data governance

  • Work model: Hybrid remote work permitted

Description

Architect, develop, and deploy advanced cloud-native data solutions for risk management, regulatory compliance, financial reporting, and governance using Azure, Gen 2, and Databricks. Lead on-premises to cloud migration, translate complex business requirements into technical design and implementation, and collaborate with IT and security teams to meet stringent security, scalability, and performance needs.

Responsibilities

  • Architect, develop, and deploy cloud-native data solutions for risk management, regulatory compliance, financial reporting, and governance frameworks

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

  • Collaborate with business analysts, product managers, and stakeholders to elicit/analyze requirements and identify operational inefficiencies

  • Engage with IT architects, database administrators, and cybersecurity teams to design secure, scalable, high-performance back-end infrastructure

  • Coordinate with other technology and development teams for cohesive enterprise integration

  • Participate in agile development meetings to align on priorities, distribute work, and share knowledge around technical challenges and lifecycle management

Benefits

  • Eligible for an annual discretionary incentive award

  • Competitive benefits package

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 Azure Data Factory, Databricks, SQL, DataStage, and data quality/governance frameworks

  • Technical leadership experience

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