Cloud Data Platform Leader

Senior Data EngineerThis role drives data quality and governance while optimizing performance across cloud and legacy platforms.The Senior Data Engineer collaborates with cross-functional teams to translate business requirements into robust data pipelines and products.

They mentor junior engineers and champion continuous improvement in engineering standards and operational excellence.Leads the design development and maintenance of highly scalable secure and resilient data pipelines and systems on cloud platforms.Architects and implements advanced data integration solutions to support complex analytics business intelligence and enterprise reporting needs.Collaborates with cross-functional teams including data scientists business analysts product owners and application engineers to understand and deliver on evolving data requirements.Ensures the highest standards of data quality integrity and security through comprehensive testing validation and robust governance practices.Monitors optimizes and scales data workflows to achieve performance reliability and cost-efficiency targets across both cloud and legacy environments.Proactively identifies investigates and resolves data-related issues providing technical leadership mentorship and guidance to junior team members.Champions continuous improvement by staying current with industry trends emerging technologies best practices and driving innovation in data engineering processes and solutions.Partners with enterprise architecture and data governance teams to define and enforce data standards and compliance requirements.Leads design reviews and technical workshops to uplevel engineering practices across the organization.Contributes to strategic planning for data platform evolution and modernization initiatives.Required Skills and Qualifications : Key Requirements : Minimum 7 years of experience in data engineering with a strong emphasis on designing and implementing cloud-based solutions.Advanced proficiency in SQL with hands-on experience in relational and NoSQL databases.Extensive experience architecting and operating data platforms on AWS and Azure relevant cloud certifications strongly preferred.Deep knowledge of data warehousing concepts ETL / ELT processes data modeling and enterprise data governance frameworks.Demonstrated success in leading and mentoring data engineering teams driving technical excellence and fostering collaborative environments.Exceptional problem-solving skills attention to detail and the ability to work independently and proactively in fast-paced settings.Advanced proficiency in Python and Bash for automation orchestration and data processing tasks within AWS environments.Outstanding communication leadership and cross-functional collaboration abilities with a proven track record of partnering with business and technical stakeholders.Expertise with Snowflake dbt GitHub Control-M and familiarity with modern data engineering frameworks as deployed on AWS.Solid understanding of both traditional infrastructure and AWS cloud-based infrastructure including Windows and Linux environments.