Director, Data Engineering

Leads technology strategy by selecting tools and frameworks to efficiently ingest, transform, and deliver high quality data from multiple source systems and vendors. Enforces engineering best practices through design and code reviews, implements automated testing strategies with UTPLSQL and Karate to ensure reliability and quality. Implements Continuous Integration / Continuous Deployment (CI/CD) pipelines and automation workflows to enable efficient, reliable, and scalable data platform operations. Creates and customizes data quality frameworks as per compliance monitoring, business operations and analytical needs.

Responsibilities

Leads the architecture, design, and implementation of enterprise data solutions, ensuring scalability, security, and high performance; Mentors and coaches engineering teams, leads proof of concept initiatives, and fosters innovation; Designs, develops and modifies complex and major software systems; Develops and directs software system testing and validation procedures, programming, and documentation; Translates and incorporates business vision and strategy into architectural strategy recommendations at the functional level; Participates in high-level, cross-functional architecture design teams; Identifies and consults with internal and external technical resources to produce cross-company strategic designs; Consults on development and delivery of major technology initiatives and deployment of major project deliverables for the business unit; Regularly provides guidance, training, and coaching to team members; Identifies and plans for future resource needs; Determines technical approaches at a strategic level for the business unit; Manages complex project delivery spanning multiple development teams; Leads strategic engineering and software delivery lifecycle (SDLC) initiatives; Leads technology strategy by selecting tools and frameworks to ingest, transform, and deliver high quality data; Enforces engineering best practices through design and code reviews and implements automated testing strategies; Implements CI/CD pipelines and automation workflows; Creates and customizes data quality frameworks for compliance monitoring, business operations and analytical needs

Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Engineering (or closely related occupation) implementing data solutions in OLTP, ODS, and data warehousing environments; OR Master's degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Engineering (or closely related occupation) implementing data solutions in OLTP, ODS, and data warehousing environments; Demonstrated Expertise designing and implementing high-throughput data pipelines and scalable data APIs, and enabling data movement from ODS using Oracle, AutoSys, Informatica, PL/SQL, Unix Shell scripting, and Python; Demonstrated Expertise engineering resilient common data APIs using Java, Spring Boot, and WebFlux, and deploying cloud-native solutions on AWS (EKS, S3, Lambda, ALBs, Route 53, EC2, EFS); Demonstrated Expertise building system architecture designs for enterprise data pipelines and transactional datastores using Oracle and Delphix Virtual Database (VDBs), and performing data warehousing using Informatica, Oracle, and Snowflake; Demonstrated Expertise in SQL performance fine-tuning, batch performance optimization, and SQL query troubleshooting (Oracle DBMS_XPLAN, Explain Plan, Hints), and automating regression testing using Karate Test Automation via CI/CD pipelines using Jenkins, GitHub, Sonar, and Xray