Description
Reports To: VP, Revenue Strategy & Planning
Department: Revenue Strategy and Planning
Position Status: Salary Exempt
About DMG:
Divisions Maintenance Group provides facility maintenance services to retail chains and distribution and fulfillment centers across the country.
We are leading the way with our technology, creating world-class products that are revolutionizing the industry and fulfilling our brand promise of “Uninterrupted Peace of Mind.”
DMG is a Certified Great Place to Work with a strong, inclusive culture and top-notch benefits.
Job Summary:
DMG captures millions of data points each day from our proprietary workorder platform in Postgres and Snowflake, Salesforce, NetSuite, Dialpad, HRIS, and external market sources. We need to accelerate our pace of turning this raw data into revenuedriving insights. As our first Senior Revenue Intelligence Engineer, you will build foundational data empowers Revenue Strategy & Planning (RSP), GoToMarket and the entire organization to make faster, smarter decisions that directly generate incremental sales and margin growth.
What You'll Do:
- Work with the data teams to Architect and maintain a Customer & Revenue 360° data model that unifies Snowflake, Salesforce, NetSuite, Dialpad, HRIS, and external enrichment data to be consumed by the entire organization.
- Design and orchestrate efficient ELT pipelines in SQL and Python using tools such as dbt, Airflow and Glue to refresh critical tables in hours, not days.
- Publish certified datasets and semantic layers to Power BI, enabling self_service dashboards for pipeline health, contracted margin, and funnel velocity.
- Partner with RevOps, Sales, and Finance leaders to translate business needs into data roadmaps and actionable insights that guide territory design, pricing strategies, and resource allocation.
- Implement pragmatic data_quality, freshness, and lineage checks to ensure GTM metrics remain accurate and trusted.
- Document data contracts, definitions, and best practices; coach analysts and stakeholders on leveraging curated datasets and reducing ad_hoc engineering requests.
- Other duties as assigned by management.
What You Need:
- 8+ years of fulltime dataengineering experience delivering endtoend solutions that support Sales, Marketing, or Finance.
- Proven ability to translate business concepts into a clear data roadmap and technical execution plan.
- Expertlevel SQL (minimum 5 years writing complex queries) and strong Python skills; handson experience with Airflow or Glue.
- Advanced experience with cloud data platforms - preferably Snowflake and Postgres - including ETL/ELT, data modeling, and performance tuning.
- Demonstrated success integrating Salesforce data and at least one ERP/billing system (NetSuite preferred); familiarity with CDC tools such as Fivetran or Airbyte is a plus.
- Experience publishing enterprise_grade data models into the data warehouse including DAX Measures and workspace governance.
- Solid understanding of data management best practices: ingesting new data, transforming/harmonizing it, and making it actionable for analytics.
- Familiarity with AWS Glue, PySpark, Scala, Kafka, or similar technologies is advantageous.
- Excellent communication and collaboration skills, with the ability to work across technical and nontechnical teams in a fastpaced environment.
- Ability to manage the stress of a fast-paced environment.
- Ability to meet the in-person requirements of the team and/or business needs.
What You'll Get:
At DMG, you’ll be part of an amazing team that encourages learning, growth, and advancement. Our company has an entrepreneurial spirit that rewards self-starters and encourages employees to take charge of their own careers.
Some of our many benefits include:
- Health, dental and vision coverage on day 1.
- Dollar-for-dollar 401K match up to 4% of salary with immediate 100% vesting.
- Paid Primary and Secondary Caregiver leave.
- Employee Assistance Program to assist with everyday challenges.
- Paid time off to volunteer.
Divisions Maintenance Group is an equal opportunity employer.