Senior / Staff Data Platform Engineer

We're looking for a Data Platform Engineer to build out the next generation of our data platform . The ideal candidate has been a data platform engineer on a large system and is energized by deeply understanding customer pain points and opportunities related to our data platform. To date this has been a shared responsibility on our engineering team, but as we've grown to over 1 billion API calls per day (with lots of data exhaust into our data lake), we're hiring a Data Platform Engineering team to modernize and level up our data stack.

This role can be either in our NYC HQ or remote in the US.

We care a lot about shipping fast and talking to customers. We're committed to our product vision of full-stack location infrastructure, but we also know that customer feedback is a treasure map to gold. Even though Slack is the brain of our company, working together in-person in our NYC HQ is the fastest way for us to get things done.

We meet on Mondays to plan out work for the week in small groups and use Linear for planning. All projects are run by an Engineering lead, an executive and a Go-to-Market lead. Engineers figure out what to build, talk to customers, talk to prospects, help close them, get them live and make them successful.

One of our most important company values is "Walk a mile," as in walking a mile in the customer's shoes, but also as in literally walking a mile, getting up from your desk and developing a deep understanding of how location services behave in the real world. To us, a week is a long time, and we expect to ship big things every week.

- Our data stack includes Kinesis, S3, Athena, Terraform, Airflow, Parquet, Metabase, Python, Redis, MongoDB, and Kubernetes.

- Work on core Radar data infrastructure built with Kinesis, S3, Athena, Terraform, Airflow, Parquet, Metabase, Python, Redis, and Mongo (some of these need to be replaced - you'll help figure out what that looks like)

- Improve our current data platform via incremental improvements and deploying next generation infra to level up our stack.

- Besides experience with some of our current data stack, have experience with several of Snowflake, Clickhouse, Databricks, Dynamo and dbt or similar tools

- Are deeply curious about how things work, and have the tenacity to sit with hard problems and power through them

- Have experience building end-to-end customer facing analytics, real-time streaming solutions, leveraging cold and hot storage to achieve product goals