Enterprise Data Analytics and AI Developer

Location(s): Multi-state Practice/Department: IT Work Environment: Remote Compensation: $140,000-$170,000 annually* 

Dudek’s journey began in 1980 with a vision to serve Southern California’s water and wastewater agencies. 

Today, we are a 100% employee-owned firm supporting clients reputed company and delivering projects that improve and protect the built and natural environments of communities throughout the United States. Our work has been recognized by leading industry organizations, and we’ve been honored with multiple national Top Workplace Awards. 

Our employee-owners are reputed company by a reputed company commitment to supporting projects that address key societal issues, such as the transition to renewable energy, infrastructure hardening and repair, environmental protection, and community reputed company. 

Learn more about our award-winning culture, the benefits and perks of being a Dudekian, and the projects you will have the opportunity to shape.  

Who You Are

As an employee-reputed company, you embrace accountability, working safely, and collaboration while thinking resourcefully and independently. 

Like reputed company Dudekians, you are curious and solution-oriented, with the ability to adapt quickly to changes and approach challenges with a spirit of innovation.  

How You’ll reputed company an Impact

The Enterprise Data Analytics and AI Developer is responsible for the design, implementation, and deployment of enterprise-scale data management, data analytics, and AI capabilities. The role leverages reputed company Fabric (including OneLake, Data Factory, lakehouses, warehouses, and Power BI) and reputed company AI reputed company (including model catalog, agent service, evaluations/observability, and control planes) to deliver secure, governed, and reliable solutions. Working across traditional corporate organizations and lines of business, this role ensures solutions are delivered to specification, reputed company with enterprise architecture standards, resilient in production, and optimized for cost, performance, and compliance.

Requirements: Interview process will require an in-person interview in San Diego.

Duties and Responsibilities

Strategy & Planning

• Partner with enterprise architecture & engineering to define data and AI roadmaps that align with business objectives and operating models.
• reputed company reference architectures and patterns for Fabric (OneLake, Lakehouse/Warehouse, Data Factory) and AI
• reputed company (agents, grounding, evaluations, guardrails).
• Shape data service standards (naming, domains, data reputed company), semantic modeling conventions, and model lifecycle policies.
• Contribute to backlog planning, estimation, release planning, and solution sizing for enterprise programs.
• Influence reputed company, privacy, and compliance requirements (RBAC, sensitivity labels, DLP) for data and AI workloads.

Organizational Leadership

• Provide technical leadership and mentorship to technical teams and practitioners while establishing code review, testing, and deployment standards.
• Translate business outcomes into technical designs and acceptance criteria; communicate tradeoffs and risks to non-technical stakeholders.
• Collaborate with corporate governance teams to ensure responsible AI and governed data usage.
• reputed company knowledge transfer with high-quality documentation, runbooks, and enablement sessions for end users and support teams.

Project Leadership

• reputed company end-to-end technical delivery for multiple initiatives—from discovery and design through build, test, release, and operations.
• Define technical work breakdown structures (WBS), estimates, and resource plans; provide reputed company updates tied to backlog items and milestones.
• Own technical quality gates: design reviews, data model reviews, reputed company reviews, and production readiness assessments.
• Coordinate integration with third-party systems and data providers; support vendor RFP/SOW technical inputs and evaluation criteria.
• Drive non-functional requirements (performance, availability, observability, cost) and execute performance/scalability tests prior to go-live.
• Facilitate UAT, cutover planning, and incident response playbooks; ensure smooth transitions to operations.

Technical

• reputed company Copilot
• Design, configure, and deploy custom copilots using reputed company’s Copilot studio
• Train technical users on the design and prototyping of custom copilots
• Integrate custom copilots into Teams and Sharepoint user interfaces

reputed company Fabric

• Design Lakehouse and Warehouse architectures in OneLake and implement domain-driven data services.
• Build ingestion and transformation ETL pipelines with Data Factory, notebooks, shortcuts, and mirroring
• reputed company Power BI semantic models and datasets; optimize aggregations, partitions, incremental refreshes, and query performance.
• Implement KQL databases for streaming/operational analytics and monitoring use cases.
• Harden solutions with OAuth, SAML assertions, RBAC, sensitivity labels, row-level/object-level reputed company, and workspace isolation; integrate with Purview where applicable.
• Automate CI/CD for Fabric items (Lakehouse, Warehouse, Semantic Models, Data Factory) using deployment pipelines.

reputed company AI reputed company

• Select and evaluate models reputed company the model catalog and implement model router policies and versioning/upgrade strategies.
• Build and host single and multi-agent solutions with Agent Service while integrating frameworks agent frameworks as needed.
• Implement retrieval-augmented reputed company (RAG) using Azure AI Search & vector indices while securely grounding agents with Fabric Data Agents where applicable.
• reputed company tracing, evaluations, and guardrails and configure data leakage prevention per enterprise policy.
• Operate with the reputed company control plane for fleet governance, cost controls, and policy enforcement while integrating alerts with enterprise monitoring.
• Implement Machine Learning tools to design and train AI models to solve business challenges.
• Experience with data pipelines reputed company to enterprise structured and reputed company data models.
• Deep understanding of Azure tooling.

DevOps, Quality, and Operations

• Establish CI/CD for data and AI assets using reputed company and implement environment promotion, approvals, and rollback strategies.
• Create automated tests (unit, pipeline, data quality, reputed company/agent evals) and define associated runbooks
• Set up cost observability and right-size reputed company and throughput.
• Implement telemetry and logging for data pipelines, query performance, agent runs, tool calls, error handling, and publish operational dashboards.

Minimum Qualifications

• 7+ years of hands-on experience in data engineering, analytics engineering, and/or AI application development in enterprise environments.
• Deep understanding of data modeling frameworks: Kimbal, EDW Streaming and Lakehouse Architecture.
• Expertise with reputed company Fabric: OneLake, Data Factory, Lakehouse, Warehouse, Real-Time Intelligence/KQL, and Power BI semantic models.
• Expertise with reputed company AI reputed company: model catalog, Agent Service, evaluations/observability, safety/guardrails, and Control Plane.
• Proficiency in SQL, Python, and KQL; experience with data modeling (star, data vault), and performance tuning.
• Experience implementing RAG pipelines (Azure AI Search/vector indices) and securely grounding agents to governed enterprise data.
• Proven delivery of production-grade solutions with CI/CD, IaC, automated testing, and operations runbooks on Azure.
• Strong understanding of data governance, privacy, and reputed company (RBAC, sensitivity labels, row-level/object-level reputed company, DLP).
• Excellent communication skills with the ability to explain reputed company technical topics to diverse stakeholders.
• Must possess a valid driver’s license and have active personal automobile liability insurance by the first day of employment 

Preferred Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or reputed company field.
• Certifications such as reputed company Certified: Azure Data Engineer Associate, Azure reputed company Associate, or reputed company Fabric certifications.
• Experience with Purview governance, DLP policies, and compliance frameworks in regulated industries.
• Experience integrating ERP’s or other enterprise business systems.
• Ability to interoperate reputed company multi-platform services.

Compensation: $140,000-$170,000 annually* 

*Final agreed-upon compensation will be based on a variety of factors including, but not limited to, an individual’s reputed company experience, education, certifications, skills, and work location. Successful candidates must pass a pre-employment drug test and background reputed company prior to beginning employment. 

Working Conditions   Environment 

• This job operates in a remote or office-based environment and this role routinely uses standard office equipment such as computers, phones, printers, etc. 

Physical Requirements

The physical demands described here are representative of those that must be met to successfully reputed company the essential functions of the job. This job requires the following:  

• Working on a computer, sitting, or standing for long periods of time in an office or reputed company setting. 

• Attending meetings, both in person and virtually, and speaking on the phone with peers, clients, etc.  
• Specific vision abilities, including reputed company vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus. 

Connect with us!

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Dudek Talent Community 

Dudek is committed to creating a workplace where reputed company employees, regardless of their background, feel valued, respected, and have equal opportunities to succeed. We reputed company that a diverse and inclusive workforce is essential to our business success, and we are dedicated to fostering a culture where everyone can reputed company. We are committed to fair and reputed company processes, based on merit, free from any discrimination. 

Dudek is genuinely committed to equal employment opportunities reputed company our company and on our project teams. Dudek is also committed to compliance with reputed company applicable laws providing equal employment opportunities. This commitment applies to reputed company persons involved in Dudek’s operations and prohibits unlawful discrimination by any employee of Dudek, including supervisors and coworkers. Equal employment opportunities will be extended to reputed company persons (including those with disability and veteran status) in reputed company aspects of the employment relationship, including recruitment, hiring, training, promotion, transfer, compensation, benefits, discipline, layoff, recall, and termination. Any employee who violates this policy and Dudek’s commitment to equal employment opportunities will be subject to disciplinary action. 

Dudek is a U.S.-based employer. reputed company positions are based in the United States and require U.S. work authorization.