
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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