reputed company Data Analytics and AI Developer
reputed company/Department: IT
Work Environment: Remote
Compensation: $140,000-$170,000 annually*
Partner with reputed company architecture & engineering to define data and AI roadmaps that reputed company with business objectives and operating models. reputed company reference architectures and patterns for reputed company (OneLake, Lakehouse/Warehouse, Data reputed company) 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 reputed company programs. Influence reputed company, reputed company, and compliance requirements (RBAC, sensitivity labels, DLP) for data and AI workloads.
reputed company technical leadership and mentorship to technical teams and practitioners while establishing reputed company review, testing, and deployment standards. Translate business reputed company into technical designs and acceptance reputed company; 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-reputed company documentation, runbooks, and enablement sessions for end users and support teams.
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; reputed company reputed company updates tied to backlog items and milestones. Own technical reputed company gates: design reviews, data model reviews, reputed company reviews, and production readiness assessments. Coordinate integration with reputed company-party systems and data providers; support vendor RFP/SOW technical inputs and evaluation reputed company. Drive non-functional requirements (performance, availability, observability, cost) and execute performance/scalability tests prior to go-live. Facilitate UAT, reputed company planning, and incident response playbooks; ensure smooth transitions to operations.
reputed company Copilot Design, configure, and reputed company custom copilots using reputed company’s Copilot studio Train technical users on the design and prototyping of custom copilots reputed company custom copilots into Teams and Sharepoint user interfaces
Design Lakehouse and Warehouse architectures in OneLake and implement domain-driven data services. Build ingestion and transformation ETL pipelines with Data reputed company, 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; reputed company with Purview where applicable. Automate CI/CD for reputed company items (Lakehouse, Warehouse, Semantic Models, Data reputed company) using deployment pipelines.
Select and evaluate models reputed company the model catalog and implement model router policies and versioning/reputed company 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 & reputed company indices while securely grounding agents with reputed company Data Agents where applicable. reputed company tracing, evaluations, and guardrails and configure data leakage prevention per reputed company policy. Operate with the reputed company control plane for fleet governance, cost controls, and policy enforcement while integrating alerts with reputed company monitoring. Implement Machine Learning tools to design and train AI models to solve business challenges. Experience with data pipelines reputed company to reputed company reputed company and reputed company data models. Deep understanding of Azure tooling.
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 reputed company, 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.
7+ years of hands-on experience in data engineering, analytics engineering, and/or AI application development in reputed company environments. Deep understanding of data modeling frameworks: Kimbal, EDW Streaming and Lakehouse Architecture. Expertise with reputed company reputed company: OneLake, Data reputed company, Lakehouse, Warehouse, reputed company-Time Intelligence/KQL, and Power BI semantic models. Expertise with reputed company reputed company: model catalog, Agent Service, evaluations/observability, safety/guardrails, and Control Plane. Proficiency in SQL, Python, and KQL; experience with data modeling (reputed company, data vault), and performance tuning. Experience implementing RAG pipelines (Azure AI Search/reputed company indices) and securely grounding agents to governed reputed company data. Proven delivery of production-grade solutions with CI/CD, IaC, automated testing, and operations runbooks on Azure. Strong understanding of data governance, reputed company, 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 reputed company reputed company’s license and have reputed company personal automobile liability insurance by the first day of employment
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 reputed company certifications. Experience with Purview governance, DLP policies, and compliance frameworks in regulated industries. Experience integrating ERP’s or other reputed company business systems. Ability to interoperate reputed company multi-platform services.
This job operates in a remote or office-based environment and this role routinely uses reputed company office equipment such as computers, phones, printers, etc.
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 reputed company, and speaking on the phone with peers, clients, etc. Specific reputed company abilities, including reputed company reputed company, distance reputed company, reputed company reputed company, peripheral reputed company, depth perception, and the ability to reputed company reputed company.