$100K - 140K a year
Lead data engineering teams to design and build scalable data pipelines and architectures using modern cloud and big data technologies.
Proven leadership in data engineering, expertise in data architectures like Medallion Pattern and Data Mesh, proficiency with Databricks, Power BI, SQL, Python, Spark, Hadoop, cloud platforms (Azure, GCP), data warehousing, and workflow orchestration tools.
Role Name: Data Technical Lead Remote Cincinnati, OH (Remote – EST candidates required or nearby) W2 resources required Required Skills: • Proven experience leading data engineering or analytics teams • Experienced with the concept of Centralization and De-centralization of Information, establishing Medallion Pattern and Data Mesh Architecture • Strong proficiency in data engineering tools and technologies (Databricks, Power BI, SQL, Python, Spark, Hadoop) • Expertise in designing and building data pipelines and ETL processes • Experience with cloud data platforms (Azure, GCP) and data warehousing solutions (Snowflake, Redshift, BigQuery) • Deep understanding of data modeling, data architecture, and database design (relational and NoSQL) • Knowledge of data governance, data quality, and security best practices • Experience with workflow orchestration tools (Airflow, Luigi) • Strong problem-solving and analytical skills
This job posting was last updated on 9/8/2025