Advisor360° is looking for a Senior Engineering Manager to lead our Data Fabric team. This will be a senior people leader who sits at the intersection of technical depth, data governance, and organizational influence. This is not a role for someone who wants to stay in their lane. You'll own the development and reliability of the data infrastructure that powers our entire platform, lead a team of up to 12 engineers, and serve as a strategic voice for data across the company.
You'll drive both execution and culture: running data development with the rigor of a software organization while building the kind of team that takes extreme ownership, moves fast, and ships with confidence. If you thrive at the intersection of high-stakes infrastructure, cross-functional partnership, and servant leadership — this is the role.
Here’s What You’ll Do:
- Lead and Grow a High-Performing Team
- Lead, coach, and grow a team of up to 12 data engineers — setting a high bar for quality, ownership, and craft while actively enabling individual growth.
- Run data development like a software organization: full SDLC adherence, CI/CD pipelines, structured dev/test/prod environments, sprint planning, Jira-based change management, and clear prioritization.
- Hire great engineers who level up the team, and build the kind of culture where people do their best work.
- Maintain team health, morale, and productivity as the ecosystem around you evolves quickly.
- Own the Data Products Infrastructure
- Lead the development, delivery, and ongoing maintenance of Advisor360°'s core data products infrastructure — the shared foundation that underpins all data deliverables across the organization.
- Build and evolve the frameworks and methodologies that enable independent teams to develop their own data products while adhering to unified governance, quality, and architectural standards.
- Own low-latency data pipeline development end to end, including tooling, monitoring, alerting, and maintaining a unified view across data sources.
- Drive lifecycle management of enterprise data products serving internal teams, platform capabilities, and client-facing solutions.
- Champion Data Quality and Governance
- Embed data quality, observability, ownership, and governance into every layer of the stack as a foundational design principle.
- Establish and enforce trust frameworks that ensure data accuracy, lineage, and compliance across the enterprise.
- Partner with compliance, risk, and security teams to ensure all data practices meet regulatory and industry standards.
- Manage the support and maintenance of the data products that the team owns.
- Drive Strategic Influence Across the Company
- Partner closely with engineering, product, finance, go-to-market, and operations stakeholders to ensure data capabilities align with business objectives.
- Serve as a company-wide advocate for