Cloud Data Architect

We are seeking a seasoned data architect to lead our cloud-based data engineering initiatives.

The ideal candidate will have extensive experience in designing and implementing secure, scalable data solutions on AWS using Snowflake, DBT, and modern automation tools.This role requires strong leadership skills to drive best practices for data quality, validation, and governance while optimizing performance and reliability across both cloud and legacy platforms.Lead the design, development, and maintenance of highly scalable, secure, and resilient data pipelines and systems on cloud platforms.Architect and implement advanced data integration solutions to support complex analytics, business intelligence, and enterprise reporting needs.Collaborate with cross-functional teams including data scientists, business analysts, product owners, and application engineers-to understand and deliver on evolving data requirements.Evaluate and ensure the highest standards of data quality, integrity, and security through comprehensive testing, validation, and robust governance practices.Monitor, optimize, and scale data workflows to achieve performance, reliability, and cost-efficiency targets across both cloud and legacy environments.Proactively identify, investigate, and resolve data-related issues providing technical leadership mentorship and guidance to junior team members.Drive continuous improvement by staying current with industry trends emerging technologies best practices and by driving innovation in data engineering processes and solutions.Partner with enterprise architecture and data governance teams to define and enforce data standards and compliance requirements.Required Skills : Minimum 7 years of progressive 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 databases (e.g. Oracle, SQL Server, MySQL, Snowflake) and NoSQL databases (e.g. MongoDB, DynamoDB).

Extensive experience architecting and operating data platforms on AWS and Azure relevant cloud certifications (e.g. AWS Certified Data Analytics, Azure Data Engineer Associate) 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 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 (e.g. Airflow Fivetran Matillion) as deployed on AWS.Solid understanding of both traditional on-premises virtual / physical and AWS cloud-based infrastructure including Windows and Linux environments.