Collibra logo
Collibra

United by Data™

Senior Enterprise Solution Architect

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 1,001-5,000Since 2008H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

4 days ago

Salary

$152K - $190K / year

Seniority

Senior

Job Description

Senior Enterprise Solution Architect

Collibra

Role Description Joining Collibra’s Customer Solutions and Services team, the Federal Enterprise Architect will work closely with customers at various stages of their Data maturity journey, from land to expansion to renewals. This is an exciting opportunity to work with large enterprises across the Federal business to support their roadmap and data programs with Collibra. - Leading federal customer engagements by delivering mission-aligned consulting services that adhere to Collibra’s Delivery Models, Engagement Processes, Methodologies, and Artifacts, while ensuring compliance with applicable government regulations and security standards (e.g., FedRAMP, FISMA, GovCloud). - Providing federal agencies with tailored data governance strategies that incorporate best practices, enable knowledge transfer, and drive measurable business and mission outcomes. - Partnering cross-functionally with Collibra Sales, Customer Engineering, Product, Support, and Executive teams to ensure alignment with federal acquisition cycles and stakeholder priorities. - Identifying opportunities to expand Collibra’s footprint within agencies by aligning product capabilities to evolving agency mandates, modernization efforts, and compliance requirements. - Meeting or exceeding utilization goals in support of federal client success, long-term program engagement, and repeatable delivery excellence. - Contributing to the growth of Collibra’s public sector services and licensing business through account expansion, strategic planning, and customer advocacy. Qualifications - 5-10 years of consulting experience supporting U.S. federal agencies with knowledge in the areas of Data Governance, Data Management or Data Quality. - An understanding of the leading PaaS providers, Data Lakes, Databases, and Integration platforms commonly adopted by federal agencies. - A minimum of 2 years of experience working with cloud platforms, network-based API integration (REST/JSON), and deployment automation. - Linux CLI proficiency. - Hands-on experience with AWS/Azure, Kubernetes, infrastructure and platform. - Experience with big data technologies such as Spark and Hadoop. - Familiarity in enterprise security solutions such as LDAP or Kerberos. - Hands-on experience with Data Quality, Data Pipelines, Data Orchestration, and/or Job Control tools. - Knowledgeable of at least two or three of the following: data management processes, including data governance, data stewardship, master data management, data cataloging, and business rules management. - Proficiency in leveraging APIs via Java, Python, or similar scripting language for custom software implementations in Enterprise Linux or Unix environments. - Experience with data warehousing, ETL, data integration. - Skilled in developing functional and technical specifications. - Experienced with Collibra or comparable technologies. Requirements - Because this role supports the U.S. government business, it is required that this candidate be a U.S. citizen who resides on U.S. soil and holds active security clearance (Secret/TS/TS-SCI). Measures of Success - Within your first month, you will complete Collibra's onboarding and product certification process, familiarize yourself with active federal customer engagements and their respective data maturity stages, and establish relationships with key cross-functional partners across Sales, Customer Engineering, and Product. - Within your third month, you will take full ownership of your assigned federal customer engagements, delivering consulting services in alignment with Collibra's delivery models and federal compliance standards, while identifying early expansion opportunities tied to agency modernization mandates or evolving data governance needs. - Within your sixth month, you will be operating as a trusted advisor to federal agency stakeholders, consistently meeting or exceeding utilization targets, contributing to at least one account expansion, and bringing repeatable delivery artifacts or best practices back to the broader Public Sector professional services team. Compensation for this role The standard base salary range for this position is $152,000.00 - $190,000.00 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location. In addition to base salary, we offer a competitive total rewards package, including bonus potential, equity for eligible roles, a Flex Fund monthly stipend, pension/401k plans, and more.

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Hitachi Social Innovation is POWERING GOOD

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SunnyData logo

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Full TimeRemoteTeam 51-200H1B No Sponsor

• Customer Engagement: Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on Databricks solutions. In this role you will split your time evenly between billable and pre-sales activity. • Technical Leadership: Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives. Drive technology innovation by providing thought leadership on data trends. • Pre-Sales Support: Collaborate with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings. • Project Oversight: Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress to report outcomes. • Solution Design: Architect data solutions, incorporating best practices in data governance, security, and quality. • Data Analysis: Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes. • Cross-Functional Collaboration and Leadership: Lead internal teams, provide direction and mentorship to project teams to deliver solutions and educate end users on data products and analytic environments. • Problem Resolution: Perform system analysis, assess and resolve data and system defects, and apply appropriate corrections. • Quality Assurance: Test data movement, transformation code, and data components to ensure accuracy and reliability.

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