Staff Data Engineer, Data Systems, TCGplayer

Role Description

As a Staff Data Engineer, you will join our Data Engineering team and serve as a technical leader, helping shape technical direction across warehouse and application-facing systems. You will work closely with engineering, platform, and analytics teams to strengthen data governance, improve confidence in data-related changes across distributed environments, and guide sound decisions around datastores, data movement, and system design. This is a highly collaborative Staff Data Engineer role with broad influence across TCGplayer, with the opportunity to raise engineering standards, support long-term platform health, and help teams build with greater clarity and confidence.

What you will accomplish:

• Serve as a technical leader in data systems, setting direction and raising the bar for engineers through architecture guidance, standards, and hands-on partnership across TCGplayer Technology.
• Strengthen Snowflake governance, access controls, security, observability, and cost management so warehouse workloads are more reliable, efficient, and easier to scale.
• Improve how teams validate and test data-related changes across distributed environments, increasing release confidence in systems that span warehouse, services, and application-facing platforms.
• Guide datastore and architecture decisions across operational and warehouse systems, helping teams make strong tradeoff decisions based on reliability, scale, maintainability, and product needs.
• Lead cross-application datastore initiatives, including migrations and platform upgrades, with emphasis on security, governance, and alignment with architecture standards.
• Partner with application and platform teams to bring greater clarity to data ownership, service boundaries, and data movement across transactional products, microservices, and event-driven systems.
• Enable teams to move faster by providing guidance on Postgres design, performance, and datastore decisions, increasing consistency and engineering leverage across the organization.

Qualifications

• 10+ years of experience designing, improving, or supporting production platforms across data warehousing, operational datastores, distributed systems, or data architecture.
• Hands-on experience with Snowflake in production environments, including governance, access controls, security, observability, performance, reliability, and cost management.
• Strong experience with relational databases, ideally Postgres, including schema design, indexing, query optimization, transactions, scaling, and production troubleshooting.
• Experience guiding datastore and architecture decisions across technologies such as Postgres, MongoDB, Redis, Snowflake, and similar platforms.
• Experience with microservices and event-driven systems (Kafka and Debezium preferred), including retries, idempotency, ordering, and change data capture.
• Strong communication and technical judgment, with a track record of influencing across teams and improving reliability, testing, governance, observability, or engineering practices in complex environments.

Requirements

• Base pay range: $136,000 - $228,600.
• Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience.
• The total compensation package may include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits.
• Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
• If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary at any time.
• Remote roles are not eligible for U.S. visa sponsorship.

Benefits

• Full range of medical, financial, and/or other benefits, including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave.