Lead Data Engineer

• lead design and implementation of all aspects of our data ecosystem — from obtaining third party data to building our own data products, from infrastructure architecture to end-user BI and data exploration toolchain;
• evangelize and implement the best practices, from reasoning about statistical significance to granting data access via AI tools, from source control and change management to database migrations;
• establish guardrails for self-serve ecosystem for the business users;
• help our product engineering teams evolve from treating data as exhaust to building DDD-based data products;
• enhance our ETL/ELT patterns, from landing zone to semantic layers;
• ensure that our metrics are built on top of consistent, curated data with clear stewardship;
• oversee our connected SaaS data landscape;
• own the budget for the data infrastructure and develop a sensible cost allocation model;
• safeguard our data, from tokenization and access controls, to retention and backups;
• remain relentlessly pragmatic and balance the daily demands or a fast-growing startup business with the needs of a well-managed platform;

• have 7-10+ years hands-on experience working across the data ecosystem, from modern ETL/ELT and orchestration to data warehouses and columnar stores, from BI tooling for less-technical business users to SQL optimization;
• have software engineering mindset, leading with the principles of source control, infrastructure as code, testing, modularity, automation, CICD, and observability;
• bring in a strong professional network, since it is impossible to know everything, and one must be able to tap others for advice;
• have experience working directly with product engineers as well as business users;
• be proficient in Python, since you would be expected to contribute data platform aspects into product engineering code as well as write your own tools;
• be able to figure stuff out - the modern data space is deep and complex, and there are many ways of solving the same problem; you need to be able to go off on your own, research and design a solution, implement technical spikes, and then deliver it through responsible change management;
• have an owner mindset and continuously look for, notice, and implement improvements to our data infrastructure, because small continuous improvements matter;
• be a thought-leader that keeps a finger on the pulse of the industry - vendor landscape, industry trends;
• work from our NYC SoHo office at least four days a week.

Our salary ranges are based on paying competitively for our size and industry, and are one part of our total compensation package that also includes benefits, signing bonus, and equity.

Pay decisions are based on a number of factors, including scope and qualifications for the role, experience level, skillset, and balancing internal equity relative to other Coast employees.

We expect the majority of candidates who are offered roles at Coast to fall healthily within the range based on these factors.

range : $170K-$220K

Equity Grant : Meaningful potential upside given Coast’s early-stage trajectory

• Medical, dental and vision insurance
• Flexible paid time off (vacation, personal well being, paid holidays)
• Tools to help manage your financial wellness, including webinars, access to an equity tax advisory service, and company-sponsored 401(k)
• Paid parental leave
• $400 accessories allowance (a keyboard, mouse, headphones, etc.)
• Education stipend
• Free lunch every Friday

Coast is committed to diversity, equity, and inclusion.

We are building a diverse and inclusive environment, so we encourage people of all backgrounds to apply.

We’re an Equal Opportunity Employer and do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.

Check out the latest podcast interview on Fintech Layer Cake with Coast Founder Daniel Simon !