Senior Data Engineer - Position No. 1465

About the RoleWe are seeking a Senior Data Engineer to join our dynamic multi-entity enterprise and take ownership of our data transformation journey. You'll have an exceptional opportunity to shape and build our modern data ecosystem across 30+ companies.You'll be joining at a pivotal moment as we migrate to a cloud-first data infrastructure and establish our enterprise data warehouse. This role offers incredible autonomy, high visibility, and the chance to make a lasting impact on our organization's data future.What Makes This Role Exciting:Massive scale - Work with data across 30+ companies and diverse business domains.Modern tech stack - Build with cutting-edge tools including dbt, Airflow, Redshift, and AWS.High impact - Your work will directly enable data-driven decisions across the entire organization.Technical ownership - Lead data engineering initiatives in an established enterprise.What You'll Do:Participate in and optimize our migration to AWS cloud infrastructure and modern data warehouse.Design and implement robust, scalable ETL/ELT pipelines using dbt, Airflow, and custom solutions.Deploy, manage, and optimize enterprise data warehouse and data lake solutions (Redshift, BigQuery).Integrate and consolidate diverse data sources from CRMs, databases, APIs, and systems across 30+ companies into a single source of truth.Design data models, schemas, and governance standards across business domains.Build and maintain secure, high-performance data processing systems with quality frameworks and monitoring.Develop modern BI environments and partner with business leaders to translate requirements into dashboards and analytical datasets.Ensure data governance, security, access control, and documentation best practices across the enterprise.What We're Looking For:5+ years of data engineering experience.Expert SQL skills and deep experience with data modeling and database design (SQL and NoSQL).Cloud experience with AWS, GCP, or Azure (AWS strongly preferred).Modern data stack expertise - hands-on experience with dbt, Airflow, and custom pipeline development.Data warehouse technologies - production experience with BigQuery, Redshift, or similar platforms.Python proficiency for data engineering tasks and automation.Strong understanding of data governance, security, and compliance frameworks.Excellent communication skills with ability to collaborate across technical and business teams.Nice to Have:Experience building company-wide BI strategies or Centers of Excellence.Exposure to real-time or streaming data solutions (Kafka, Kinesis).Experience with enterprise software integrations (Salesforce, etc).Experience with data infrastructure transformations and migrations.