Data Engineering Manager

Who We Are

Perchwell is the modern real estate listings platform built for agents to search smarter, collaborate better, and close deals faster. We are building the future of residential real estateʼs critical listings infrastructure: a platform where  market  research and client  collaboration converge. Our modern architecture enables continuous innovation at a pace legacy systems cannot match, with AI-powered features and mobile-first capabilities designed for how agents actually work. As consumer expectations and technology evolve, Perchwell remains focused on our core vision:  empowering real estate professionals with the most intelligent, data-driven, and connected platform in the industry.

Backed by leading venture capital firms including Lux Capital and Founders Fund, along with strategic partnerships with some of the country's top Multiple Listing Services (MLSs), Perchwell represents the first major new platform to enter the listings technology market in decades. This unique combination of institutional investment and deep industry alignment provides both the resources and market validation needed to transform the multi-trillion dollar residential real estate industry.

As a Data Engineering Manager, you will lead the team that owns the data infrastructure and pipelines of Perchwell. You will spearhead the effort of building a resilient and high performing data platform. You will bring a background of engineering rigor and excellence and work cross-functionally with the rest of the organization. You will be helping execute large strategic technical initiatives within the Data Engineering domain. 

You have deep experience in building and operating data infrastructure for large production systems. You understand good data governance practices and build systems and processes that allow the business to innovate while protecting its data. You are rigorous and meticulous in your work and hold others to the same high engineering standards. You are unbothered by large, messy data sets and have wrangled and integrated them into a platform others can build easily on top of. 

You will work closely with the VP of Engineering and other senior leaders to tackle and remediate our current problem set while also building net new capabilities. You will build important relationships and partner deeply with our product and SRE organizations. This role has an on-call requirement. 

We believe that in an ever-changing, innovative environment, we do our best work when we are working as a team in-person. In this role, you’ll work out of our New York City HQ in Soho Manhattan 3 days/week.

• Lead and mentor our existing team of data engineers and contractors

• Design and build scalable processes and solutions to our data engineering challenges

• Design and manage large performant data pipelines for ETL and enrichment

• Be a leader and driver of our complete data strategy

• Partner with the Data Team to help drive data quality and governance

• Help us evolve our current data models and systems architecture

• Build and operate reliable data systems that have observability, reconnaissance and automation baked in from the start

• Ensuring that data, whether structured or unstructured, is easily accessible and usable to analysts and engineers for insights and analysis and feature work

• Partner with FinOps and the infrastructure teams to identify and manage cost savings as well as monetization opportunities
  

• BS or MS in Computer Science, related technical field, or equivalent experience

• Hands-on in being able to design, build, test, deploy and maintain real-time and batch processed data systems 

• Hands-on experience building pipelines that span from RDBMS to NoSQL databases

• Designed, built and operated streaming data platforms

• Experience owning cloud data warehouse and data lake implementations

• Hands-on experience writing software for pipelines using Airflow, Java, Kotlin, Python, Kafka, SQL

• Deep experience with big data technologies such as BigQuery, Redshift, dbt, Snowflake, Fivetran

• You’ve built and operationalized data systems using via CI/CD pipelines using GitLab, GitHub actions, Terraform, or Jenkins

• You’ve built tools and or enabled automation for your team or others

• 5+ years of experience in a dedicated Data Engineering role with at least 2 years of management experience
  

• Experience running your services on Kubernetes

• Experience with Event Driven System designs and the required messaging technologies and patterns (kafka, nats, aeron)

• Experience with Elasticsearch

Note: At this time, we are only considering candidates who are authorized to work in the U.S.

Compensation Range: $175K - $215K