Data Engineering Lead

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🏈 Ohio – Remote

🏈 Ohio – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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OhioHealth

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1891

🏥 Healthcare

⚕️ Healthcare Insurance

🧘 Wellness

Healthcare • Healthcare Insurance • Wellness

OhioHealth is a not-for-profit healthcare system headquartered in Columbus, Ohio, dedicated to providing exceptional patient care and a wide range of medical services. With facilities spread across multiple locations, OhioHealth offers comprehensive healthcare services including cancer care, maternity, midlife clinics for women, virtual health appointments, and specialized care for transgender and LGBTQ patients. They also focus on patient education with health and wellness classes, support groups, and health quizzes. OhioHealth is committed to improving community health through various community relations and health initiatives. They provide resources such as price transparency, financial assistance, and patient rights information to enhance the healthcare experience for all patients.

📋 Description

• Oversee the architecture, development, and maintenance of the data platform • Ensure data quality, efficiency, integrity, and security • Serve as the primary subject matter expert for supported applications and technology • Collaborate with business analysts, architects, product owners, vendor partners, and IT teams • Review architectural designs and requirements • Lead code and design reviews, analyze results, and recommend solutions • Identify technical risks and develop contingency plans • Analyze operations and evaluate improvement options • Conduct security audits • Guide teams through technical issues and challenges • Support governance, quality assurance, standards, and technology architecture compliance • Lead technology changes and oversee technology implementation and modification activities • Create production-ready IT services for agile teams • Evaluate new and emerging technologies and oversee proofs of concept • Produce detailed designs and review developer implementations for quality and best practices • Create, review, and approve technical documentation • Lead technology strategy and roadmap development • Work with third-party vendors to validate technical aspects, assess feasibility, and develop metrics, dashboards, and status reports • Coordinate operational processes including crisis management, support escalation, change management, release management, and capacity management • Analyze, plan, justify, schedule, and coordinate specialty-area administrative, operational, and financial initiatives

🎯 Requirements

• Bachelor's Degree in Computer and Information Science • Bachelor’s or Master’s degree in Computer Science, Information, or a related field • Minimum of 12–15 years of experience in data engineering focused on ETL and cloud technologies • Proficiency in Informatica ETL tools, SQL, and Azure Cloud platforms • Experience with Informatica IDMC and the Informatica suite of tools • Familiarity with MDM architecture and data flow • Experience with migration from existing data platforms to Databricks and Microsoft Fabric • Working experience with Azure data pipelining, scheduling, and monitoring • Ability to debug troublesome pipelines • Hands-on expertise with data pipelines • Strong experience with big data technologies including Spark and Databricks • Understanding of integration between cloud and on-premises resources • Proficiency in database and data warehouse development, including replication, staging, ETL, stored procedures, partitioning, change data capture, triggers, scheduling tools, cubes, and datamarts • Experience with backend languages such as Python • Proficiency in data manipulation using analytics tools/platforms such as Databricks and Azure Fabric with Spark engine • Expertise in at least one technology stack such as Java, Python, or PySpark • Excellent debugging, troubleshooting, analytical, problem-solving, communication, and collaboration skills • Ability to collaborate with architects and managers to develop metrics and KPIs • Experience working in an Agile development environment preferred • Experience building data pipelines supporting ML workflows a plus • Experience working with geographically distributed teams preferred • Adaptability to new technology and a continuous-learning mindset • Ability to estimate the financial impact of technology alternatives • Demonstrated ability to work well with others and be respected as a leader

🏖️ Benefits

• Work-from-home arrangement for Ohio residents • Day shift • 40 scheduled hours per week • Learning and growth opportunities • Supportive, professional environment • Great Place to Work Certified™ organization