Senior Engineering Manager, Reporting Data Curation

Ridgeline•San Ramon, CA

16h•Hybrid

About The Position

Are you an experienced engineering leader who thrives on building high-performing teams that deliver scalable, high-quality data products? Do you enjoy shaping data models and operational reporting systems that power critical decisions across complex financial workflows? Are you excited to lead teams solving data curation and querying challenges at scale within a modern data intelligence platform? If so, we invite you to be a part of our innovative team. In this role, you will lead Ridgeline’s Reporting Data Curation team within the Data Intelligence Platform, owning the core reporting and data-querying infrastructure that powers both customer-facing reporting experiences and internal analytics. You will drive the design and delivery of scalable operational reporting, high-quality data models, and the evolution of our next-generation distributed query and reporting engine. Your work will transform complex financial data into reliable, high-performance reporting systems that enable faster, more informed decision-making for investment managers. Our team of engineers are building with cutting-edge technologies—like Claude Code and Cursor—in a fast-moving, creative, progressive work environment. Ridgeline is the first front-to-back system of record for investment managers. Founded by visionary entrepreneur Dave Duffield (co-founder of both PeopleSoft and Workday), the company was created to modernize an industry held back by outdated, disconnected technology. Powered by a single, real-time data set and embedded AI, Ridgeline helps firms automate complexity, accelerate collaboration, and deliver tailored client experiences at scale, without added headcount or risk. Ridgeline is headquartered in Lake Tahoe, with offices in New York, Reno, and the Bay Area, and is recognized by Fast Company as a “Best Workplace for Innovators,” by Frost & Sullivan as a “Technology Innovation Leader,” and by The Software Report as a “Top 100 Software Company.”

Requirements

10+ years of experience in software or data engineering with 5+ years in an engineering management role leading product or platform teams
Strong expertise in data modeling, data warehousing, and scalable reporting systems, including experience with distributed query engines such as Trino, Presto, or Spark SQL
Experience leading teams responsible for data platforms, analytics systems, or reporting infrastructure used broadly across an organization
Proven ability to deliver complex, high-impact initiatives in fast-paced environments while balancing customer-critical deliverables with long-term platform investments
Deep understanding of distributed systems, data pipelines, and performance optimization across compute- and IO-intensive workloads
Hands-on technical depth in at least one of the following areas: modern JVM languages such as Kotlin or Java, Python, or SQL-based analytics, along with familiarity with cloud data storage technologies
Strong communication skills with the ability to influence and align technical and non-technical stakeholders across functions
Demonstrated ability to hire, mentor, and retain high-performing engineering talent while supporting the growth of senior engineers and emerging leaders
Willingness to learn and apply cutting-edge technologies, including AI tooling, within a business-critical domain
Strong problem-solving skills with a bias toward ownership, action, and continuous improvement

Nice To Haves

Experience in fintech, investment management, or financial data systems, particularly in client or regulatory reporting
Familiarity with modern data stack technologies such as Snowflake, Databricks, or dbt
Experience building or operating reporting systems with strict correctness, auditability, and reliability requirements
Experience scaling teams and systems during periods of rapid organizational growth

Responsibilities

Lead and grow a high-performing engineering team responsible for the core reporting and data curation platform that underpins customer reports, dashboards, and internal analytics while establishing clear operating rhythms that keep the team aligned and effective
Define and execute the technical vision and roadmap for scalable operational reporting and high-quality data modeling, including evolving next-generation distributed query and reporting capabilities
Partner cross-functionally with product, design, and engineering teams to turn complex financial data into reliable, high-performance reports and data products while owning service health and operational excellence
Build and improve data pipelines, models, and tooling that ensure data is accurate, well-structured, and broadly reportable across systems
Establish and uphold best practices for data quality, governance, and consistency across reporting layers and shared data abstractions
Hire, coach, and develop engineers through clear feedback, growth planning, and mentorship while fostering a culture of accountability, learning, and psychological safety
Champion AI-native engineering workflows and modern development practices to improve delivery speed, system reliability, and developer experience