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Remote Onestream Developer Jobs in California (NOW HIRING)

Remote Onestream Developer information

What is the difference between Remote Onestream Developer vs Remote Data Integration Specialist?

AspectRemote Onestream DeveloperRemote Data Integration Specialist
Required CredentialsOnestream certification, SQL, scripting skillsData management certifications, SQL, ETL tools
Work EnvironmentFinancial services, enterprise softwareData-focused roles across various industries
Employer & Industry UsageFinance, ERP solutions, enterprise software providersIT firms, data consulting, corporate data teams
Search & Comparison IntentFocus on Onestream platform expertiseBroader data integration skills and tools

The Remote Onestream Developer specializes in developing and maintaining Onestream platform solutions, often within finance and enterprise environments. In contrast, a Remote Data Integration Specialist focuses on integrating data across systems using various tools like ETL, SQL, and data pipelines. While both roles require data management skills, the Onestream Developer is more platform-specific, whereas the Data Integration Specialist has a broader scope across multiple tools and industries.

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Senior Manager, Financial Systems & Data Architecture

Senior Manager, Financial Systems & Data Architecture

Evergreen Services Group

San Francisco, CA • On-site, Remote

$185K - $210K/yr

Other

Posted yesterday


Job description

Position Overview

The day-to-day responsibilities will include:

  • Owning the financial systems and data strategy, defining and then executing on a 12-24 month roadmap in partnership with Finance and Executive leadership
  • Owning end-to-end data architecture, including data lake and data warehouse infrastructure (Azure/Fabric), API and ETL/ELT integrations across source systems (ERP, EPM, HRIS), and BI reporting layers (Power BI)
  • Developing and maintaining scalable BI and analytics frameworks that translate complex financial data into clear, actionable business insights
  • Establishing and enforcing data governance standards, including master data management (MDM), metadata governance, and data quality frameworks across Finance
  • Identifying and implementing AI-driven automation opportunities to transform Finance operations, reporting, and insight generation
  • Leading large-scale system initiatives from requirements gathering through delivery, managing timelines, stakeholders, and cross-functional dependencies, including managing external technical consultant relationships
  • Flexing between strategic leadership and hands-on contributor work - directing a small group of internal and external resources while personally contributing to writing code, building pipelines, designing data models and system oversight
  • Driving technology adoption and change management across our Holding Company and support industry vertical teams in system implementation and adoption
  • Translating business requirements into scalable technical solutions, acting as the bridge between Finance leadership and technical teams
  • Partnering closely with Finance, IT resources and cross-functional stakeholders to align systems strategy with business priorities

Qualifications

  • 10+ years of progressive experience in Data Architecture, Finance/Business Systems, or Business Intelligence, ideally within high-growth and/or high-M&A environments
  • Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Business, or a related field
  • Experience owning end-to-end data architecture including data lake or warehouse infrastructure, ETL/ELT integrations, and BI reporting layers; proficiency in SQL required, Microsoft stack a strong plus
  • Experience with financial systems at scale including ERP, EPM, and Business Intelligence platforms; familiarity with OneStream and Business Central a plus
  • Deep understanding of data engineering best practices, warehousing/lakehouse architecture, MDM, and metadata governance
  • Demonstrated success delivering large-scale system initiatives, preferably within Finance
  • Strong project management and cross-functional collaboration skills

Personal Attributes

  • Strategic thinker and hands-on builder - equally comfortable driving vision and rolling up your sleeves to execute
  • Excellent communicator with the ability to translate complex technical concepts for Finance stakeholders and vice versa
  • Highly collaborative with strong cross-functional relationship and project management skills
  • Self-motivated and comfortable operating with autonomy in a lean team environment
  • Excited about applying emerging AI and automation tools to modernize how Finance operates
  • Interested in a long-term career at a company building something to last for decades
  • High integrity, low ego - Evergreen hires on potential and trajectory as much as technical credentials

Compensation

A competitive compensation package including a base salary range of $185,000-$210,000, annual performance-based bonus, Profit Interest Units (equity-based comp) and an excellent benefits package is available.

Location

San Francisco, CA preferred. Hybrid or remote candidates with significant relevant experience will be considered.