Lead Data Engineer/Architect

Apply Now

San Francisco, CA







Title: Lead Data Engineer/Architect
Job ID: AD198654715
Location: FULLY REMOTE (HQ's are in San Diego)

We are quickly becoming the backbone operating system for service labor across the US and Canada. We have rocketed from MVP to the #1 ranked SaaS software platform in just over 2 years...We have been following the VC-ed loved triple triple, double double revenue growth path, and are currently well over 200 employees and only at Series C!

We have been hitting YOY growth and expectations and there is no slowing down in sight! The home services industry remains vast ($700b+) but untouched by technology and unencumbered by a dominant competitor! It's an incredible time to join our team.

As a Lead Data Architect/Engineer on our team you will lead a technical team that architects, builds, maintains, scales, monitors, administrates and secures our Analytics infrastructure. Your ultimate goal is to enable our customers to be data-driven - you will do so by creating a scalable data system that enables us to deliver best-in-class analytics products in the face of massive growth.We work on a AWS, Airflow, Python, Snowflake tech stack. Connect with me for more details!

  • Lead a technical team that architects, builds, maintains, scales, monitors, administrates and secures our client’s Analytics infrastructure.
  • Work in a multi-disciplinary fast-paced environment, drive innovation and satisfy the analytics needs of your stakeholder. 
  • Create a scalable data system that will enable the team to deliver best-in-class analytics products to in the face of massive growth.
  • Enable data access, build data governance, data infrastructure and data products by architecting, maintaining, scaling, monitoring & securing the following: ML production system (AWS, Airflow, Python, Github, Gitlab), Data Warehouse (Snowflake), ETL system & data pipelines (Segment, Stitchdata, Airflow, Python), BI system (Tableau Online, Amplitude), (Current analytics stack in parentheses)
  • Experience planning, building & managing data infrastructures in a public cloud.
  • 6+ years of experience as a Data Engineer/Data Architect and have architected distributed data platforms.
  • Ability to estimate, design, build and own a business initiative end to end.
  • In-depth experience with MySQL databases and Snowflake’s data warehouse
  • Experienced managing a business intelligence system
  • Proficient in at least one programming languages like Python, Scala and Java
  • Familiar with big data technologies like Hadoop, Spark, Hive
  • Comfortable with setting and meeting SLAs for data availability and quality
  • Understands Machine Learning / AI principles in data engineering
  • Consistently engaged in mentoring, training and reviewing other data engineers on the team.
For more information about TEEMA and to consider other career opportunities, please visit our website at www.teemagroup.com