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Data Engineering Practice Lead

  • Location: Camden, NJ
  • Start Date: 5/6/2022
  • Job ID: 22-00328
  • Posting Date: 5/6/2022
  • Job Type: Direct Placement
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Responsibilities:
 
As the Data Engineering Practice Lead, you will be responsible for leading the Cloud Data Warehouse, Data Reporting, and Data Science team that allows the business to be a data driven decision making organization. In this position, you will work to enable a more data-integrated business by delivering operational software to create a more agile, automated system. This position will have direct reports as well as offshore partners, you will be responsible for maintaining a relationship with them and keeping them on track with their current and future projects.
 
Additional specific job duties include:
 
  • Creating and managing a strategy and implementation project roadmap, including managing a pipeline of analytics requirements and through governance, agreeing on the priority of these for the available resources.
  • Establish relationships with the businesses to meet operational and analytics needs of the organization.
  • Collaborate across business units with stakeholders, providing thought leadership and drive the day-to-day implementation of our analytics strategy.
  • Interface with business technology and analytics communities both within and outside the company to rollout company initiatives that have information management components and engagements with third-party data providers.
  • Lead data governance and data quality frameworks to ensure compliance with enterprise and regulatory guidelines.
  • Manage core data management processes and develop KRIs (key risk indicators), controls, service-level agreements around business use of information (e.g. time-to-market metrics, data quality, security classification, glossary, approvals for data access, retention);
  • Assign and review the work of system analysts, software programmers, and application developers
  • Develop computer information resources, providing data security and control, strategic computing, and disaster recovery.
  • Administer Snowflake, manage the delivery of Power BI reports, approve the design and drive the implementation process for data science rollouts.
  • Evaluate ROI for each data science project.
  • Coordinate with external customers on their data needs and work with internal security team for any internal and customer specific data sharing demands.
  • Gather requirements for all digital transformation streams.
  • Approve invoices for vendors and work with the procurement team on new work streams and SoWs.
  • Participate in budget planning and keep a track of the approved budgets and provide justification for additional budgets.
  • Handle escalation from all departments within the digital engineering practice.
  • Reviews and analyzes payroll data being sent to the general ledger to ensure accuracy
 
 
What We Are Looking For: The ideal candidate will have or be able to complete the below qualifications.
 
Education
 
Bachelor's or Master's degree in Computer Science/Data Science or equivalent experience.
 
Experience
  • 5+ years of hands-on experience on complex queries, data analytics, ETL tools (Informatica), data science programming
  • Experience in leading data engineering teams.
  • Experience with Supply Chain or Logistics is a plus.
  • Experience in Snowflake.
  • Experience with Azure Cloud and Azure Data Factory.
  • Experience in Power BI.
  • Experience with Machine Learning methodologies.
 

 
Posted by Colin Reid

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