Senior Data Engineer

Data Engineering-Cloud Data EngineeringWe are seeking a seasoned Data Engineer to join our Sports Analytics & Engineering Practice. This role is pivotal in shaping and implementing our client's vision for a cutting-edge, cloud-native data ecosystem. You will architect and build scalable data infrastructure that transforms raw data into high-value assets, powering analytics across digital products, fan engagement, and marketing domains. Your work will directly contribute to the development of a world-class customer data platform.Responsibilities:Design and build robust, scalable data transformation pipelines using SQL, DBT, and Jinja templatingDevelop and maintain data architecture and standards for Data Integration and Data Warehousing projects using DBT and Amazon RedshiftCollaborate with cross-functional teams to gather requirements and deliver dimensional data models that serve as a single source of truthOwn the full stack of data modeling in DBT to empower analysts, data scientists, and BI engineersEnhance and maintain the analytics codebase, including DBT models, SQL scripts, and ERD documentationEnsure data quality, governance alignment, and operational readiness of data pipelinesApply software engineering best practices such as version control, CI/CD, and code reviewsOptimize SQL queries for performance, scalability, and maintainability across large datasetsImplement best practices for SQL performance tuning, including partitioning, clustering, and materialized viewsBuild and manage infrastructure as code using AWS CDK for scalable and repeatable deployments. Integrate and automate deployment workflows using AWS CodeCommit, CodePipeline, and related DevOps toolsSupport Agile development processes and collaborate with offshore teamsRequired Qualifications:Bachelor's or Master's (preferred) degree in a quantitative or technical field such as Statistics, Mathematics, Computer Science, Information Technology, Computer Engineering or equivalent5+ years of experience in data engineering and analytics on modern data platforms3+ years' extensive experience with DBT or similar data transformation tools, including building complex & maintainable DBT models and developing DBT packages/macrosDeep familiarity with dimensional modeling/data warehousing concepts and expertise in designing, implementing, operating, and extending enterprise dimensional modelsUnderstand change data capture conceptsExperience working with AWS Services (Lambda, Step Functions, MWAA, Glue, Redshift)Hands-on experience with AWS CDK, CodeCommit, and CodePipeline for infrastructure automation and CI/CDPython proficiency or general knowledge of Jinja templating in Python and/or PySparkAgile experience and willingness to work with extended offshore teams and assist with design and code reviews with customerA great teammate and self-starter, strong detail orientation is critical in this role.