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Sql Project Manager Jobs in Riverside, CA (NOW HIRING)

Trace3

Atlan Implementation Project Manager

Irvine, CA · On-site

The Atlan Implementation Project Leader / Manager is the single accountable owner for that ... Snowflake, Salesforce, dbt, Microsoft SQL Server, and Oracle; familiarity with Domo and Okta-based ...

Trace3

Atlan Implementation Project Manager

Irvine, CA · On-site

The Atlan Implementation Project Leader / Manager is the single accountable owner for that ... Snowflake, Salesforce, dbt, Microsoft SQL Server, and Oracle; familiarity with Domo and Okta-based ...

Schoolsfirstfcu

Financial Analyst II, SQL

Tustin, CA · Hybrid

... management decision-making * Prepares accurate and timely financial reports, including monthly ... Facilitates project deliverables and testing Additional Job Functions * Performs other duties as ...

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Sql Project Manager information

See Riverside, CA salary details

$62.6K

$118.6K

$162.8K

How much do sql project manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for sql project manager in Riverside, CA is $118,594.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $121,500.00 per year, depending on experience, location, and employer.

What is an SQL project manager?

An SQL Project Manager is a professional responsible for overseeing projects that involve SQL databases, ensuring that database-related tasks are completed on time and within scope. They coordinate between technical teams, such as database administrators and developers, and business stakeholders to define project requirements, manage timelines, and resolve issues. Their role requires both project management skills and a good understanding of SQL and database concepts to effectively guide and support the project team.

What are the key skills and qualifications needed to thrive as a SQL project manager?

To thrive as a SQL Project Manager, you need expertise in database management, SQL programming, and project management methodologies, typically supported by a degree in computer science or IT and relevant certifications. Familiarity with relational database systems (such as Microsoft SQL Server, MySQL, or Oracle), project management tools (like Jira or MS Project), and certifications like PMP or Agile are highly valued. Strong leadership, problem-solving, and communication skills help you effectively coordinate teams, manage stakeholders, and drive projects to completion. These capabilities are essential to ensure successful database project delivery, alignment with business goals, and efficient cross-functional collaboration.

How does a SQL project manager typically collaborate with database administrators and development teams during project execution?

A SQL Project Manager works closely with database administrators to ensure that project requirements align with database capabilities, data security standards, and best practices. They also coordinate with development teams to manage timelines, allocate resources, and address technical challenges as they arise. Effective communication and regular status meetings are key to identifying potential roadblocks early and keeping everyone aligned on project goals. By bridging the gap between stakeholders, technical teams, and end-users, the SQL Project Manager helps deliver projects on time and within scope.

What is the difference between Sql Project Manager vs Data Analyst?

AspectSql Project ManagerData Analyst
Required CredentialsBachelor's in IT, Computer Science; PMP or PMI certifications often preferredBachelor's in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst often preferred
Work EnvironmentManage projects, coordinate teams, oversee SQL database implementationsAnalyze data, create reports, interpret data trends
Employer & Industry UsageIT firms, tech companies, large enterprises managing databasesMarketing, finance, healthcare, and other sectors analyzing data

The Sql Project Manager focuses on overseeing SQL database projects, coordinating teams, and ensuring project delivery. In contrast, Data Analysts primarily analyze data, generate reports, and provide insights. While both roles require SQL skills, the Project Manager emphasizes project management and leadership, whereas the Data Analyst emphasizes data interpretation and analysis.

What are popular job titles related to Sql Project Manager jobs in Riverside, CA?

For Sql Project Manager jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Sql Project Manager jobs in Riverside, CA look for?

The top searched job categories for Sql Project Manager jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Sql Project Manager jobs?

Cities near Riverside, CA with the most Sql Project Manager job openings:

Sql Project Manager jobs near you

Atlan Implementation Project Manager

Trace3

Irvine, CA • On-site

Contractor

Posted 15 days ago

Job description

*Please note, this is a contract position through Trace3.*

Role Summary

The customer is implementing Atlan as its enterprise data catalog and context layer, beginning with the Customer 360 domain. Core platform onboarding and several source connections are substantially complete. Atlan's contracted role is primarily advisory - the customer requires a partner-side leader who provides the delivery capacity and technical execution to move the implementation from connected platforms to a usable, governed, and adopted catalog.

The Atlan Implementation Project Leader / Manager is the single accountable owner for that execution. This is a hands-on delivery leadership role, not a pure coordination role: the successful candidate runs the integrated plan and RAID discipline while remaining close enough to the platform to unblock lineage, connector, and RBAC issues personally. They will complete the remaining Phase 1 scope, prepare and execute the rollout, and establish a repeatable operating model that can be reused for future domains including Finance, Sales, and Marketing.

Business Outcomes This Role Is Accountable For

 Trust: Establish Atlan as the trusted enterprise entry point for finding, understanding, and using governed data.
 Unified foundation: Create a unified metadata and governance foundation for the Customer 360 initiative.
 Efficiency: Reduce manual stewardship effort through Context Agents and repeatable enrichment workflows.
 Access: Enable business users to discover certified assets while retaining broader visibility for designated roles.
 Scalability: Create a repeatable implementation pattern that can be lifted into future domains.

Key Responsibilities

Program & Delivery Leadership

 Own and maintain a single integrated delivery plan covering all remaining milestones, dependencies, and critical path.
 Run the RAID log (risks, assumptions, issues, dependencies) as the authoritative program record and drive weekly planning and status cadence.
 Serve as the named delivery owner bridging Atlan's advisory engagement and the customer's in-tenant responsibilities - closing the execution gap rather than escalating it.
 Maintain a role matrix and escalation path to protect decision velocity when stakeholder availability is constrained.
 Provide clear, executive-ready status reporting to the customer's DMO and program sponsors.

Technical Implementation

 Direct and validate connector configuration across Snowflake, Salesforce, Domo, dbt, Microsoft SQL Server, and Oracle, with Okta for SSO.
 Lead end-to-end lineage validation for Customer 360, including mapping resolution, defect triage, and documented test cases - the current highest-risk milestone.
 Troubleshoot platform, ingestion, and metadata issues hands-on, engaging Atlan advisory support where appropriate.
 Coordinate the Monte Carlo integration for data quality visibility as an adjacent capability.

Governance & Access Configuration

 Complete RBAC and persona modeling, configuration, and testing; secure and evidence formal approval.
 Balance business-user discovery of certified assets against broader visibility requirements for designated roles.

AI / Context Agents & Metadata Curation

 Configure Context Agent collections for automated metadata enrichment and tune output quality to an agreed acceptance standard.
 Publish the operating procedure so enrichment becomes a repeatable, low-touch workflow rather than a manual effort.
 Drive certification of the P1 bookings asset set, including ownership assignment and glossary linkage.
 Close metadata coverage gaps and report coverage progress against target.

Rollout, Enablement & Adoption

 Build steward enablement materials and reusable guidance.
 Develop and deliver the rollout package: training, demos, and launch communications.
 Define the adoption measurement framework - KPIs and dashboards - and report against it.
 Execute operational handoff with a documented support model and forward roadmap recommendations.

Deliverables Owned by This Role

 Validated production-source inventory and connector configuration record.
 End-to-end lineage validation report and remediation log.
 Configured RBAC / persona model with approval evidence.
 Configured Context Agent collections and supporting operating procedure.
 Certified P1 bookings asset set with glossary links.
 Steward enablement materials and reusable guidance.
 Rollout package: training, demos, and launch communications.
 Adoption measurement framework (KPIs / dashboards).
 Closeout package: support model and roadmap recommendations.

Required Qualifications

 8+ years delivering enterprise data or analytics programs, with 4+ years leading implementations as the accountable delivery owner.
 Demonstrated experience implementing a modern data catalog or metadata management / governance platform - Atlan strongly preferred; Collibra, Alation, Informatica, or Microsoft Purview considered.
 Hands-on working knowledge of the customer's stack: Snowflake, Salesforce, dbt, Microsoft SQL Server, and Oracle; familiarity with Domo and Okta-based SSO.
 Proven ability to validate and remediate data lineage across heterogeneous sources, including mapping resolution and defect triage.
 Practical experience designing and configuring RBAC / persona-based access models and shepherding them through security approval.
 Strong data governance foundation: stewardship models, business glossary, asset certification, and metadata quality management.
 Disciplined program management practice - integrated planning, RAID management, dependency tracking, and executive status reporting.
 Excellent written and verbal communication; able to move between engineering detail and executive sponsor conversations in the same day.

Preferred Qualifications

 Direct delivery experience on Atlan, including Context Agents / AI-assisted metadata enrichment configuration and tuning.
 Experience with Monte Carlo or comparable data observability tooling.
 Prior Customer 360 / Customer Master domain implementation experience.
 Track record building repeatable implementation patterns scaled across multiple business domains.
 Adoption and change management experience: training design, enablement content, and usage measurement.
 Relevant certifications (PMP, Agile/Scrum, Snowflake, or platform-specific governance credentials).

Success Measures

 Lineage for Customer 360 validated end to end, with remediation items closed or explicitly accepted.
 RBAC / persona model configured, tested, and formally approved with documented evidence.
 Context Agents live and producing enrichment at an agreed quality threshold, with an operating procedure in place.
 P1 bookings asset set certified, owned, and glossary-linked.
 Metadata coverage targets met with reporting in place.
 Rollout executed and stewards enabled, with adoption KPIs trending against baseline.
 Repeatable operating model documented and ready for the next domain, with a clean operational handoff.

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