Data Engineer, Data Quality and Governance(VP)

State Street is seeking a seasoned Data Engineer at the VP level to lead their Cloud Data Lake initiatives. This role combines technical expertise with leadership responsibilities, focusing on data quality and governance in a global financial services environment.

The position requires a skilled professional with extensive experience in cloud-based data engineering platforms and financial services industry knowledge. You'll be responsible for designing and implementing end-to-end Cloud Data Lake solutions, managing data integrations between on-premises and cloud systems, and ensuring robust data governance policies.

The ideal candidate will bring 12+ years of software development experience, with deep expertise in technologies like Python, Scala/PySpark, PL/SQL, and modern cloud infrastructure. You'll work with distributed computing frameworks such as Apache Spark and Hadoop, while ensuring solutions maintain high standards of performance, security, and cost efficiency.

As a VP-level position, you'll lead offshore and onshore teams globally, collaborating with senior-level development managers, architects, and business leadership to drive technology product roadmap implementation. The role offers the opportunity to work with cutting-edge data technologies while solving complex challenges in the financial services sector.

State Street offers a comprehensive work environment with tools to balance professional and personal life, including paid volunteer days and access to employee networks. The company maintains a strong commitment to inclusion, development, and corporate social responsibility, making it an ideal place for ambitious data professionals looking to make an impact in global financial services.