Senior Engineering Manager, Data Fabric

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 data as a strategic asset — influencing technology decisions, product roadmaps, and organizational priorities.
  • Lead change management efforts that drive adoption of modern data practices and a shared data culture across all teams.
  • Work effectively with both technical and non-technical stakeholders, aligning on scope and setting clear, realistic expectations on delivery timelines.
  • Measure and maintain alignment between data management operations such as data products manufacturing, engagement, and the business value derived from the data products.
  • Ensure data management activities, specifically data product creation and use, are aligned with and demonstrably contribute to achieving the expected business value.

What You Bring to the Table:

• Experience and Leadership
• • 8+ years of progressive experience in data engineering or data platform development, with at least 5+ years leading and growing data engineering teams.
  • Demonstrated track record in building and leading teams that have produced, published, and maintained data products consumed by multiple stakeholders or business units.
  • Delivered and supported mission-critical, highly available services in production environments — you know what it means to own uptime.
  • Experience driving cross-organizational change management: rolling out new platforms, frameworks, or ways of working across a company.
  • Familiarity with medallion architecture, semantic layers, and data modeling.
• Technical Depth

You are not expected to be the architect. You are expected to have sufficient technical fluency to ask the right questions, challenge assumptions, evaluate trade-offs, and keep the team moving.

That includes:

• Cloud Data Platforms
• • Snowflake (required), Databricks, Microsoft Azure Data Services
• Cloud Computing
• • Azure (e.g. Azure Function, AKS, etc.), with familiarity across GCP and/or AWS
• Data Pipeline Development
• • Azure Data Factory, dbt, Python, PySpark, REST / GraphQL microservices; real-time event-driven architectures using Kafka, Orkes, and Databricks
• Data Infrastructure
• • SQL Server, relational and analytical data stores (e.g. Postgresql); stream and batch pipeline design, Graph databases
• Data Quality & Governance
• • Profiling, validation, remediation frameworks; cataloging, lineage, policy enforcement, and metadata management
• Data Observability
• • Monitoring, alerting, and operational visibility across the data estate
• Engineering Practices
• • SDLC methodologies (Agile, DevOps), code reviews, source control, build processes, testing, and CI/CD
  • Knowledge of using GenAI tools (e.g Claude or Augment) to speed up development.

Mindset and Approach

• • Servant leadership: you lead by removing obstacles, elevating your team, and creating the conditions for others to do their best work.
  • Extreme ownership: you own outcomes end-to-end, take accountability without hesitation, and instill that same mindset in your team.
  • Systems thinking: you see the whole board: how infrastructure, governance, team dynamics, and business strategy connect and influence each other.
  • Exceptional communication: able to translate complex data concepts clearly for engineers, product teams, and the C-suite alike.