Senior EDW Manager

Overview

Hybrid
Depends on Experience
Full Time
No Travel Required

Skills

PySpark
EDW
DataStage
data governance
data warehouse
reporting
AWS
Snowflake
IBM DataStage
Python
Erwin Enterprise Data Modeler
R
Tableau
data management
data quality
Business intelligence
Advanced analytics.

Job Details

Role : Senior EDW Manager

Location: Columbus, OH

Duration: Fulltime

MOI : Telephonic & MS Teams

Primary Skills: PySpark, EDW, DataStage

Need Candidates with a Minimum of 12 Years of Experience. This is an Onsite/Hybrid model and a Contract to hire on W2.

Job Description:

Our client is looking for a data warehouse leader in our Data Technology organization. In this role, you will lead a team of 12-16 dedicated to pushing the limits of continuous improvement and innovation using data warehousing as a lever. You will be responsible for leading within the Enterprise Data Warehouse for the bank, including innovating the platform to enable next-generation capabilities. You will participate in the definition of the strategic roadmap for data technology and be responsible for executing data warehousing initiatives. You will partner with other Data Technology organizations and CDAO leads to architect and enable an effective data ecosystem, as well as key leaders in business and technology, to understand and support their needs.

Key Responsibilities:

  • Lead a team of 12-16 resources, providing strategic direction, coaching, and technical oversight.
  • Drive agile execution, ensuring consistent velocity, transparency, and stakeholder engagement.
  • Execute the EDW technology strategy, ensuring alignment with enterprise goals and segment priorities.
  • Participate in demand management and planning, assessing impact, feasibility, and estimating work effort.
  • Understand and translate the technical design from the Data Architect team into implemented physical data models that meet data governance, enterprise architecture, and business requirements for data warehousing.
  • Manage data within the data warehouse to ensure the efficiency of the platform.
  • Work with operational data and data acquisition teams to manage incoming sources and the downstream systems to understand and support their needs for reporting and analytics.
  • Support incident resolution and continuous improvement to drive efficiency across multiple operational run metrics.
  • Perform other duties as assigned.

Basic Qualifications:

  • Bachelor s degree in a related field.
  • 10+ years of hands-on experience in multi-terabyte data warehousing engineering projects.
  • 7+ years of experience as a technology manager for data warehouse teams.
  • Deep understanding of enterprise data warehousing best practices for technical implementation and providing business value.
  • Thought leadership in next-evolution modern data architectures.
  • Best practice EDW testing and validation approaches and implementation.
  • Strong organizational skills with demonstrated ability to build and manage a high-performing team, work with partners to set and meet business service level agreement levels, and plan and deliver work to expectations.
  • Strong communication and interpersonal skills for interacting and collaborating with developers, analysts, and business colleagues throughout the organization.

Preferred Qualifications:

  • Experience with cloud technologies, including AWS and Snowflake.
  • Experience with IBM DataStage, Python/PySpark, Erwin Enterprise Data Modeler, R, and Tableau.
  • Experience with data governance and data management approaches, including data quality.
  • Experience with business intelligence and advanced analytics.
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