Data Engineering Manager

Overview

Develop and maintain revenue data pipelines and analytics to drive sales insights

Key Responsibilities

• data modeling
• elt pipelines
• power bi
• data quality
• data governance
• business partnering

Tasks

-Document data contracts, definitions, and best practices; coach analysts and stakeholders on leveraging curated datasets and reducing ad_hoc engineering requests. -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. -Publish certified datasets and semantic layers to Power BI, enabling self_service dashboards for pipeline health, contracted margin, and funnel velocity. -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. -Implement pragmatic data_quality, freshness, and lineage checks to ensure GTM metrics remain accurate and trusted. -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.

Requirements

• sql
• python
• snowflake
• airflow
• dax
• 8+ years

What You Bring

-Solid understanding of data management best practices: ingesting new data, transforming/harmonizing it, and making it actionable for analytics. -Expert_level SQL (minimum 5 years writing complex queries) and strong Python skills; hands_on experience with Airflow or Glue. -Ability to manage the stress of a fast-paced environment. -Advanced experience with cloud data platforms - preferably Snowflake and Postgres - including ETL/ELT, data modeling, and performance tuning. -Experience publishing enterprise_grade data models into the data warehouse including DAX Measures and workspace governance. -Excellent communication and collaboration skills, with the ability to work across technical and non_technical teams in a fast_paced environment. -Proven ability to translate business concepts into a clear data roadmap and technical execution plan. -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. -8+ years of full_time data_engineering experience delivering end_to_end solutions that support Sales, Marketing, or Finance. -Familiarity with AWS Glue, PySpark, Scala, Kafka, or similar technologies is advantageous. -Ability to meet the in-person requirements of the team and/or business needs.

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Benefits

-Paid time off to volunteer. -Paid Primary and Secondary Caregiver leave. -Employee Assistance Program to assist with everyday challenges. -Dollar-for-dollar 401K match up to 4% of salary with immediate 100% vesting. -Health, dental and vision coverage on day 1.

About Divisions Maintenance Group

-Founded with the mission to deliver reliable, professional maintenance services across various sectors. -Provides end-to-end facilities management, from routine maintenance to complex repair projects. -Specializes in maintaining critical systems such as HVAC, plumbing, electrical, and mechanical infrastructures. -Works with a wide range of industries, including commercial, industrial, residential, and government sectors. -Known for quick response times, high-quality service, and cost-effective solutions to facility maintenance challenges. -Handles projects across the country, with a reputation for excellence in both large-scale and small-scale operations. -Continues to expand its services, ensuring high standards through a mix of technology, expertise, and dedicated staff.

Sector Specialisms