About the role

  • Enterprise Data Engineering Manager responsible for managing BRG's data platforms and integrations across systems. Collaborating with corporate departments and leading ETL processes while ensuring data quality and accessibility.

Responsibilities

  • Lead Data Engineering team and external vendors to support BRG’s enterprise data platforms.
  • Manage, maintain, and improve our nightly ETL (Extract Transform Load) processes from BRG’s ERP (Workday) to downstream proprietary systems (running on SQL Server and Snowflake).
  • Work with corporate departments to understand their data footprint and data needs.
  • Creation and maintenance of data integrations (data flows, API calls, synchronization, ETL/ELT, custom scripts, alerts, etc).
  • Design, implementation and monitoring of disaster recovery and business continuity procedures related to data systems.
  • Lead efforts to adopt PowerBI.
  • Creation of datasets, analysis services models, and reports as needed; assist others with the creation of automated reporting packages.
  • Creation of procedures for data warehousing.
  • Participation in development of overall data architecture and strategy.
  • Maintain documentation of data structures, dictionaries, data models, maps, and other artifacts.
  • Project management and planning: coordinating system changes and efforts with business team members, IT staff and vendors.
  • IT change management.
  • Budget and financial analysis of the cost of data platforms and cost saving measures.
  • Tier III support.

Requirements

  • Bachelor’s Degree in Information Technology, Computer Science, or Engineering.
  • 7+ years relevant business experience.
  • Excellent communication skills, with the ability to explain complex financial or technical problems to non-financial or non-technical audiences.
  • Strong experience with Microsoft SQL Server, T-SQL.
  • Strong experience with complex SQL stored procedures and queries.
  • Strong experience with Microsoft Windows Stack (.NET, Azure, Active Directory, Windows Server).
  • Strong experience creating and maintaining complex ETL /ETL procedures for high volumes of data.
  • Strong experience with REST API’s, OAuth flow, and other API Connectivity.
  • Strong attention to detail.
  • Experience with PowerBI or SSRS (SQL Server Reporting Services).
  • Experience with data visualization technologies (such as PowerBI, Tableau, or Qlik).
  • Experience with Integration as a Service platforms (such as Azure Data Factory, Dell Boomi, FiveTran).
  • Experience with Snowflake.
  • Prior management experience.
  • Exceptional problem-solving skills and critical thinking.
  • Experience with customer support.
  • Ability to adjust to rapidly changing priorities.

Job title

Enterprise Data Engineering Manager

Job type

Experience level

SeniorLead

Salary

$165,000 - $230,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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