Director, Data Collective

About Sovrn

Every interesting company solves important problems for other people. Sovrn is a Software and Data business that helps Open Web businesses be and remain independent. We help them understand their business better operate more efficiently and make & keep more money.

• We believein the freedom and free-flow of information.
• We believethe Open Web is the largest source of this information.
• We believein helping Open Web businesses be and remain Independent.

Through Software products and Data solutions we help our customers:

• Understand their business better so they can make better decisions
• Operatetheir business more efficientlyso they can invest in what matters most
• Make (and Keep)more money so they control their own destiny

Were looking for a Director Data Collective to lead the team that owns Sovrns data platform end-to-end: the pipelines lakehouse data services and cloud infrastructure that power our exchange our products and our customers decisions. This is a hands-on engineering leadership role. Youll own team composition and hiring; lead architecture and design across the platform; and remain close enough to the code the systems and the tradeoffs to make real technical decisions not just approve them.

Youll be working with a strong senior team a modern stack and an organization that already uses LLMs and agentic tooling across the data stack. Were looking for a leader who can take whats working from in use to intentional practice. Someone with strong opinions about what high-leverage AI-native data engineering looks like at exchange scale and the credibility to bring the rest of the org along.

Languages / components / tools in our stack: Python Redpanda/Kafka Databricks/Spark AWS/S3 Terraform Datadog GitHub

Team Leadership & Composition

• Own the skill mix of the Data Collective team; lead hiring and performance management for engineers ranging from mid-level to Principal
• Set the technical and cultural standards for the team: what great looks like in design code review on-call and cross-team partnership
• Mentor and grow engineers across levels through hands-on design collaboration technical coaching and clear career frameworks
• Partner with the broader engineering leadership team on org-wide planning budgeting and roadmap tradeoffs; represent the teams work and constraints to executives

Data Platform Architecture & Engineering

• Drive architectural decisions across pipeline design data modeling lakehouse architecture and data services layers
• Heavily contribute to the design and architecture of Sovrns data pipelines lakehouse and data services: high-throughput streaming always-on batch petabyte-scale storage and query
• Lead design reviews and set technical standards across the team; raise the bar on engineering rigor observability and operational excellence
• Stay close enough to the systems to make real tradeoffs on performance cost governance and reliability and to know when the teams estimates and risk assessments are right

AI & Modern Data Engineering Practice

• Set the teams direction on AI-native data engineering: where LLMs RAG agentic workflows and AI-assisted tooling create real leverage in a high-throughput adtech environment and where they dont
• Establish standards for how the team evaluates trusts and operates AI-powered systems in production: observability fallback behavior model governance and cost control
• Identify high-leverage AI applications in the data stack: intelligent pipeline optimization anomaly detection automated data quality forecasting and LLM-powered data services

Operational Excellence & Cost Management

• Own the operational posture of the data platform: SLOs on-call health incident response and continuous improvement
• Own the infrastructure cost footprint of the Data Collective across AWS and Databricks; drive structural cost improvements through architecture and disciplined commitment management
• Drive Infrastructure as Code (IaC) adoption policy-as-code governance frameworks (RBAC/ABAC IAM SCIM) and CI/CD for infrastructure across the team
• Make sure the team is investing in the right balance of new capability platform health and tech debt

Cross-functional Collaboration

• Provide domain expertise across the organization to enable business growth through data services and data models
• Partner with Product Data Science AI/ML Platform and Security teams to ship end-to-end and to make Sovrns data assets easier and safer to use
• Serve as a senior point of counsel to all consumers and stakeholders of Sovrns data: internal teams leadership and external customers of our Data-as-a-Service products
• Communicate clearly at multiple levels: from architecture documents and design reviews to executive updates on cost capacity and risk

• 10 years of software / data engineering experience with a strong hands-on track record in data platforms distributed systems or backend infrastructure
• 4 years leading and growing engineering teams including hiring leveling and performance management of senior and principal-level engineers
• Deep current technical proficiency. You still read code write design docs and lead architecture not just review work
• Hands-on experience in big data and distributed data processing in the AWS ecosystem (Python Spark Kafka/Redpanda Databricks or similar lakehouse platforms)
• Experience operating data systems at scale: real-time streaming batch pipelines data lakes metadata management lineage and governance
• Working knowledge of cloud platform engineering practices: IaC (Terraform) CI/CD observability IAM and cost management
• Track record of leading or substantially contributing to AI / agentic engineering efforts in production not just experimentation but shipped operated and iterated on
• Hands-on experience operating production vector databases at scale including the pipelines and infrastructure to refresh hundreds of millions of vectors on a daily cadence
• Familiarity with adtech data infrastructure (SSP DSP exchange or ad server environments) and the programmatic ecosystem (OpenRTB bid request/response flows auction mechanics supply path optimization) is a strong plus
• Experience with data security and compliance (PII CCPA GDPR)
• Ability to clearly communicate architectural concepts and team strategy at multiple levels from engineers to executives to the board
• Comfort driving technical and organizational decisions in ambiguous fast-moving environments

We understand that no candidate is perfectly qualified for any job. Experience comes in different forms many skills are transferable and passion goes a long way. Even more important than your resume is a clear demonstration of accountability and the ability to thrive in a fluid and collaborative environment. We expect you to learn new things in this role and encourage you to apply if your experience is close to what were looking for.

Location: Sovrn offices are located in Boulder CO and New York NY. We believe collaboration and shared purpose lead to deeper relationships more creative problem-solving and more learning faster. For employees located near one of our offices working in-person is our default. We trust people to use personal agency when focused work or life circumstances call for flexibility.. #LI-Hybrid

Application Deadline: Priority deadline July 1 2026. Applications will be accepted on a rolling basis thereafter until the position is filled.

Compensation and Benefits: The base salary for this position is $225000 to $250000 annually. Actual base salary will depend on the candidates education experience skills and addition to salary the total compensation package includes bonus and equity. Sovrn offers a full slate of benefits from medical dental and vision coverage short and long-term disability life insurance paid parental leave 401(k) plan and match 11 paid holidays flexible vacation and commuter benefits.

How to Apply: Submit your application through If you require a reasonable accommodation to participate in any part of the application or interview process please contact .

Equal Opportunity Employer: Sovrn is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race color religion gender gender identity age national origin disability parental or pregnancy status marriage and civil partnership sexual orientation veteran status or any other characteristic protected by law. Reasonable accommodations will be made to meet the requirements of the Americans with Disabilities Act.

Recruitment Agencies: Sovrn does not accept agency resumes. Please do not forward resumes to our jobs alias or Sovrn employees. Sovrn is not responsible for any fees related to unsolicited resumes.