Senior Data AI Developer

Howmet Aerospace•Torrance, CA

5d•Hybrid

About The Position

We are seeking a Senior Data & AI Developer to design, build, and support enterprise data, analytics, and AI solutions. This role will develop scalable data pipelines, enterprise data models, Power BI solutions, and AI-enabled applications that transform business data into actionable insights and automation opportunities. The ideal candidate combines strong data engineering and analytics skills with hands-on AI experience to identify business opportunities, develop proofs-of-concept, and deliver solutions using modern data and AI technologies.

Requirements

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.
Strong analytical, problem-solving, and communication skills, with the ability to collaborate effectively with business and technical teams.
Data Modeling
Data Warehousing
Data Lakehouse
ETL/ELT
SSIS, REST API’s
Azure Data Factory
Azure Data Lake Storage (ADLS)
Azure DevOps, Git, CI/CD
Power BI
DAX
Power Query
Semantic Models
DevOps, Git, CI/CD
Python
scikit-learn
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
ML frameworks (PyTorch, TensorFlow, scikit-learn)

Nice To Haves

Experience developing AI-enabled applications using Python, Azure OpenAI, Large Language Models (LLMs), or machine learning technologies is preferred.

Responsibilities

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.
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.