Senior Data AI Developer

Howmet Aerospace

. Design, develop, and support scalable Data Lake, Lakehouse, Data Warehouse, and AI-enabled data platforms across cloud and hybrid environments .

Posted 9/18/2026full-timeTorrance • California • United StatesSenior💰 $95,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable data platforms, including Data Lakes, Data Warehouses, and AI-enabled solutions. Proficient in ETL/ELT processes, Power BI reporting, and integrating AI capabilities with enterprise applications.

Highest-signal resume keywords

Data Lake DevelopmentETL/ELT Pipeline DesignPower BI Reporting SolutionsAI-Enabled Application DevelopmentMicrosoft Azure Data Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData WarehousingETL/ELTPower BIDAXPower QueryPythonLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Machine Learning

Soft Skills

Analytical SkillsProblem-SolvingCommunicationCollaboration

Tools & Technologies

Azure Data FactoryMicrosoft FabricAzure Data Lake StorageAzure DevOpsGitCI/CDSSISREST APIs

Industry Keywords

Data IntegrationEnterprise AnalyticsAI GovernanceData Quality ControlsBusiness Intelligence

Tech Stack

Tools & technologies

AzureCloudERPETLPythonPyTorchScikit-LearnSQLSSISTensorflow

About the role

Key responsibilities & impact

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 for 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 for 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
Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency
Identify, prioritize, and deliver AI use cases with business stakeholders
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
Establish best practices for AI security, governance, and responsible AI usage

Requirements

What you’ll need

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 designing and developing 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
Knowledge of data modeling, data warehousing, data lakehouse, ETL/ELT, SSIS, REST APIs, Azure Data Factory, Azure Data Lake Storage, Azure DevOps, Git, CI/CD, Power BI, DAX, Power Query, and semantic models
Knowledge of Python, scikit-learn, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and ML frameworks such as PyTorch and TensorFlow
Ability to lawfully obtain access to export-controlled items

Benefits

Comp & perks

Health insurance (medical, dental, vision) available day one of hire
Excellent 401k matching program
Paid holidays and vacation
Opportunities for career progression
Community engagement activities
Flexible schedules contingent upon role and location