Provide technical leadership for building and enhancing on‑premises data warehouse solutions
Accelerate migration to AWS, including Amazon Redshift
Understand and manage the data needs of stakeholders in a single business vertical
Responsible for the design and implementation of scalable & fault tolerant data applications
Partner with information architects, platform architects, data scientists and product management on solution requirements
Resolve problems through in-depth evaluation of business processes, system processes, enterprise standards & procedures
Comply with data management policies, standards and procedures
Lead the technical team to ensure appropriate data solutions to meet business goals
Engage in mid-level business partner engagement; management of relationship and inter-group planning among technology leadership/peers
Utilize innovative frameworks to avoid redundancy by promoting automation
Collaborate with data engineering team members

Bachelor's degree and a minimum of 4 years of experience in Technology in the consumer banking industry OR High School Diploma\GED and a minimum of 6 years or experience in Technology
Experience with large scale relational database and public cloud (AWS preferred) environments
Strong experience and deep understanding of ETL, data warehousing, Cloud technologies (AWS) and analytics concepts
Strong engineering skills in on‑prem RDBMS/data warehouse platforms, Ab Initio (GDE/Co>Operating System), advanced SQL, and AWS, including Amazon Redshift
Strong cloud engineering skills with AWS, including hands-on experience with Amazon Redshift and related data services
Experience with batch and real-time data pipelines in a DevOps environment
Willing to work in a fast-paced environment with globally located Agile teams working in different shifts
Ability to develop and maintain strong collaborative working relationships with Technology and Business Stakeholders
Excellent written and oral communication skills
Adept and presenting complex topics executing with timely / actionable follow-through

Senior Data Engineer

Key skills