engineering
Posted Apr 22Engineering Manager, Data Cloud
at Vocalytics (Techstars UHC '20)
Remote
Requirements
- We build and operate the real-time streaming pipelines (Apache Flink), data lakehouse (Databricks), and cloud infrastructure that power how the world understands blockchain data.
- Your job is to create the conditions where every engineer on this team does the best work of their career, by removing blockers, coaching growth, driving crisp execution, and building a culture where curiosity, engineering excellence, and intelligent use of AI are the norm.
- - The ability to communicate clearly — you can explain a technical decision to a VP, write a concise incident summary, and draft a quarterly plan for your team - Collaborative instincts and
- experience working cross-functionally with Product, other engineering teams, and leadership in a fast-moving environment - An interest in or curiosity about cryptocurrency and blockchain technology — we can help you learn, but the curiosity has to be genuine - A proactive mindset toward AI-assisted engineering — you should already be using AI tools (Copilot, Claude, ChatGPT, Cursor, or similar) in your own work and have opinions about how they change engineering workflows, code quality, and team
- We're looking for someone who sees AI as a multiplier.
- You might also have: - Knowledge of the modern data stack: Spark, Databricks, Kafka, Delta Lake/Iceberg, some
- experience with Flink and/or StarRocks would be appreciated. - Cloud cost optimization
- experience and FinOps practices - A background in blockchain, fintech, or other data-intensive domains -
- Experience driving AI adoption within an engineering team — setting expectations, measuring impact, removing barriers to adoption, and evolving workflows as tools mature - Hands-on
- experience with AI coding assistants (Claude Code, GitHub Copilot, Cursor) and an understanding of where they accelerate development vs.
- where human judgment is irreplaceable Technologies we use: - Streaming: Apache Flink, Kafka (WarpStream) - Lakehouse: Databricks, Delta Lake, Iceberg, DBT - Currently testing StarRocks as a serving layer - Infrastructure: Terraform, AWS (S3, EC2, EKS, IAM), Kubernetes, Helm - CI/CD: GitHub Actions - Observability: Datadog, PagerDuty - AI Development: Claude Code, GitHub Copilot - Languages: Java, Python, SQL, HCL About Chainalysis Blockchain technology is powering a growing wave of innovation.
- Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases.
- As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer.
- We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions.
- With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here.
Benefits
- You'll partner with a Staff Data Engineer who drives the technical vision and a team of data engineers who are building and maintaining data pipelines, as well as the data cloud infrastructure.
Contact
- You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf.
Additional details
- We're a global organization with teams in the UK, Denmark, Canada, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates.
- Our industry changes every day and our job is to build a flexible platform that will allow us to adapt to those rapid changes.
- The Data Cloud team is the analytical data platform at Chainalysis.
- Our pipelines process billions of records daily and directly serve customers including some of the largest institutions in crypto.
- This is a small team with outsized impact: 6 engineers managing petabyte-scale infrastructure We're looking for an Engineering Manager who leads through service, not authority.
- In this role, you’ll: - Lead, coach, and develop a team of 6 engineers spanning streaming, data lakehouse, serving layer, and platform infrastructure — with genuine curiosity about each domain - Serve the team by removing obstacles, shielding them from organizational noise, and ensuring they have what they need to ship - Own the quarterly plan and sprint-level execution: translate OKRs into milestones with clear owners, timelines, and success criteria — and keep them updated without being asked - Coach
- With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
- We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more.