Data Engineer – Industrials & Energy Sector – Senior Manager – Consulting – Location Open Position Available In Jackson, Missouri

Location:

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• Industrials & Energy Sector
• Data Engineering
• Senior Manager The opportunity EY is seeking a Senior Data Engineer to ingest, build, and support large-scale data architectures that serve multiple downstream systems and business users.

This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. As a Senior Manager in Data Engineering, you will design and build analytics solutions that deliver significant business value. You will collaborate with a diverse team of data and analytics professionals, management, and stakeholders to ensure that our solutions meet business requirements. Your role will also involve understanding and translating business needs into technical requirements, ensuring that our development aligns with the intended design. Your key responsibilities In this role, you will be responsible for the effective management and delivery of complex processes and solutions. You will navigate operational dynamics while maintaining a focus on quality and risk management.

Your responsibilities will include:

Strategic Oversight:

Lead the strategic design and implementation of data engineering initiatives, ensuring alignment with business objectives and adherence to best practices in data architecture and ETL principles.

Cloud Solutions Leadership:

Oversee the design and maintenance of scalable data pipelines and architectures using cloud platforms such as AWS , Azure, and Databricks. Ensure solutions accommodate increasing data sources, volumes, and complexity.

Solution Recommendation:

Utilize your strong background to recommend and lead cloud-based and data engineering solutions, addressing complex technical challenges and ensuring optimal performance.

Pre-Sales and RFPs:

Engage in pre-sales activities and contribute to RFP responses by developing and articulating advanced data engineering solutions that address client needs and demonstrate the value of our offerings.

AI/ML and Advanced Analytics:

Collaborate with AI/ML engineers to design and implement data solutions that support machine learning, large language models ( LLM ), and advanced analytics. Integrate AI/ML capabilities into data engineering work To view full details and how to apply, please login or create a Job Seeker account