Senior Data AI Developer
$95,000 - $120,000 per year
Apply (opens in a new tab)Senior Data AI Developer
Posted yesterday
SENIORITY
Lead
SALARY
$95,000 - $120,000 per year
About the role
- Design, develop, and support scalable Data Lake, Lakehouse, Data Warehouse, and AI-enabled data platforms across cloud and hybrid environments.
- Design and develop ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, or similar technologies. Design scalable data models and integration patterns to support enterprise analytics and AI initiatives.
- Establish event-driven, streaming, batch, and API-based integration patterns across enterprise systems. Build and maintain data integration pipelines for ERP, CRM, PLM, MES, and other enterprise applications.
- Implement data validation, monitoring, quality controls, and data governance best practices.
- Design, develop, and maintain enterprise Power BI reports, dashboards, and scorecards.
- Develop reusable semantic models, datasets, and data products that enable self-service analytics.
- Optimize Power BI performance, data refresh processes, and security, including Row-Level Security (RLS) and workspace governance.
- Collaborate with business stakeholders to define reporting requirements, KPIs, and analytics solutions.
- Optimize SQL queries and data processing performance to ensure scalable and efficient data solutions.
- Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency. AI & Automation
- Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency.
- Partner with business stakeholders to identify, prioritize, and deliver AI use cases that improve productivity, decision-making, and operational efficiency.
- Integrate AI capabilities with enterprise applications and data platforms using APIs and Python.
- Create AI proofs-of-concept and transition successful solutions into production.
- Develop AI-powered solutions using Azure OpenAI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).Design and implement AI agents and agentic workflows where appropriate.
- Establish best practices for AI security, governance, and responsible AI usage.
- Bachelor's degree in computer science, Information Systems, Data Analytics, Engineering, or a related technical field.5+ years of experience designing and developing enterprise data, analytics, or BI solutions.3+ years of hands-on experience developing Power BI enterprise reporting solutions.
- Experience in design and development of data integration, ETL/ELT, and data warehousing
- Experience with Microsoft Azure data services, Microsoft Fabric, or similar cloud data platforms.
- Experience developing AI-enabled applications using Python, Azure OpenAI, Large Language Models (LLMs), or machine learning technologies is preferred.
- Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively with business and technical teams. Technical SkillsData & Analytics
- Data Modeling
- Data Warehousing
- Data LakehouseETL/ELTSSIS, REST API'sAzure Data Factory
- Azure Data Lake Storage (ADLS)
- Azure DevOps, Git, CI/CDPower BIDAXPower Query
- Semantic ModelsDevOps, Git, CI/CDAI & Machine Learning
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