Are you a talented and driven platform engineer, with a proven track record, capable of leading cross-organizational features? Can you wrangle a CTE with DBT and ELT like you would a BLT? (that last one is a sandwich) Does tech debt quiver in its boots at the sound of your name? Do you butter your bread with evented systems? Have the letters C, Q, R, and S been ruined for you in an eventually consistent manner? If so, we’ve got news for you: you’re not alone!
We are building a best-in-class Data practice and looking for a Data Platform Engineer to join our Platform Engineering org, and partner with our Data Science, and broader engineering teams. Our work is broad and varied, collecting data on how our product works (e.g. user needs, product friction, product adoption across multiple user personas), understanding how our business works (helping provide the platform that forecasts key outcomes, builds strategic KPIs), empowering our go-to-market motions (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. While we have built out a solid data lake/warehouse, our next step is to leverage this data and drive high impact by enabling the right strategic decisions for our product, business and users.
You'll get the chance to hone your skills alongside some of the best Platform Engineers (think SRE meets Ops with a heavy focus on automation of everything). Your teammates are talented folks who value code that is 80% of the value for 20% of the work, designs that are forward-thinking enough to be easily flexible for the next features, and leadership with a healthy dose of mindfulness and humility.
Data at Apollo will be challenging. First, any type of user may be engaged across a wide surface area of products, spanning their CLI, code editors, as well as Apollo’s logged-in experience, integration points, collaboration workflows, and more. Second, the notion of success changes over time for our users, spanning from creating a rich local development experience, to building a proof-of-concept, to scaling their supergraph across the entire organization, utilizing Apollo Router in production use cases and ensuring performance and reliability across thousands of services. Third, when organizations adopt GraphOS, it often leads to a fundamental reshaping of how teams work together, and we believe there are ways to help customers be 10x more effective in this transformation.
What You'll Do
- Become a key contributor to the team, taking responsibility for the success of various subsystems.
- Participate in medium to large impact team initiatives and, within a year, lead the execution of such projects.
- Assist with interviewing potential teammates.
- Create technical designs that proactively address cost efficiency, security, and observability.
- Deliver technical plans, one-pagers, DRs, and other artifacts.
- Work with tools and technologies like BigQuery, Airflow, Kafka, DBT, Fivetran, Hashboard, Hightouch, Kubernetes, GCP, Helm, Terraform, DataDog, ArgoCD, CircleCI, Atlantis, Docker (and more) to deliver your work.
- Be responsible for measurably improving data access across the company.
What You Bring
- 5+ years of experience in data platform engineering, platform engineering, data science, analytics, or a related field.
- Expertise in systems architecture with experience in stateless, fault-tolerant systems and familiarity with event-driven patterns and distributed paradigms.
- Hands-on experience designing, implementing, and executing large-scale data projects.
- Proficiency with SQL, GitOps, DBT, BigQuery, Kafka, Postgres, and ELT Data Pipelines.
- A builder's mindset with a willingness to question assumptions and challenge conventional wisdom.
- Experience with cloud platforms (preferably GCP, but AWS or Azure is great too!).
- Familiarity with CI/CD pipelines and observability tools like DataDog, ArgoCD, CircleCI, and Atlantis.
- Experience working with infrastructure as code tools like Terraform, Helm, and Kubernetes.
- Knowledge of cost efficiency, security, and observability best practices in data platforms.
- Experience with Fivetran, Hightouch, and GraphQL.
- Knowledge of Docker and other containerization technologies.
Bonus Points For:
Apollo is the worldwide leader of GraphQL innovation. Companies like Netflix, Expedia, Peloton, DoorDash, The New York Times, and PayPal are just a small sample of Apollo's customers. Our open-source product has millions of downloads every week. Gartner estimates that by 2025, 50% of companies will be using GraphQL, and we're the clear market leader.
Compensation: In addition to the salary range above, we also provide equity and benefits. Our salary ranges are determined by role, level, and country.
Benefits: Apollo offers all US-based employees a choice of 3 Anthem Blue Cross medical plans. California residents can also choose from 2 Kaiser plans. Dental is provided by Delta Dental and vision by VSP.
Location: This is a remote position that can be done from anywhere in the US or Canada.
Equal Opportunity: Apollo is proud to be an equal opportunity workplace dedicated to pursuing and hiring a talented and diverse workforce.
Privacy: California residents applying for positions at Apollo can see our privacy policy here.
Apollo is an E-Verify employer and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. For more information please visit E-Verify.
