Data Engineer Azure Data Platforms & Data Modeling

San Jose, CA, US • Posted 30+ days ago • Updated 18 days ago

Full Time

On-site

$140000-145000/yr

Fitment

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Job Details

Skills

Extract
Transform
Load
ELT
ADF
Reporting
Data Processing
Distributed Computing
Artificial Intelligence
Collaboration
Regulatory Compliance
Operational Excellence
Data Modeling
Analytics
Data Architecture
Communication
Decision-making
FOCUS
Scalability
Cloud Computing
Orchestration
Databricks
SQL
Python
Data Engineering
Data Lake
Storage
Workflow
Machine Learning (ML)
Data Governance
DevOps
Continuous Integration
Continuous Delivery
Data Integration
Microsoft Azure
RBAC
Encryption
Computer Science
Data Science

Summary

What you know

Design, develop, and maintain scalable, high-performance data pipelines across Azure cloud platforms.
Build and orchestrate ETL/ELT workflows using Azure Data Factory (ADF).
Develop enterprise-grade data models (dimensional, relational, lakehouse) to support analytics and reporting needs.
Implement and optimize data processing solutions using Azure Databricks and distributed computing frameworks.
Support AI/ML initiatives by enabling curated datasets and workflow integration using Azure Machine Learning pipelines.
Collaborate with data scientists, analysts, architects, and business stakeholders to deliver trusted data products.
Ensure best practices in data governance, security, quality, and compliance across platforms.
Monitor and optimize pipeline reliability, performance, and cost efficiency in production environments.
Contribute to CI/CD automation and operational excellence for enterprise data workflows.

Important attributes for this role

Strong data modeling mindset (enterprise, analytics, and lakehouse architectures)
Ownership of end-to-end data architecture and delivery
Ability to work cross-functionally with technical and business teams
Clear communication and stakeholder alignment
Strong decision-making in platform and architecture design
Enterprise focus on reliability, security, and scalability

What you'll do

8 10 years of experience in Data Engineering, Data Platform Engineering, or related roles.
Strong experience building cloud-scale data solutions in the Microsoft Azure ecosystem.
Hands-on expertise with Azure Data Factory for orchestration and automation.
Experience with Azure Databricks for large-scale data transformation and processing.
Strong proficiency in SQL and Python for data engineering workflows.
Experience working with Azure Data Lake Storage (ADLS) and modern lakehouse architectures.
Familiarity with Azure Machine Learning pipelines and supporting feature/data workflows for ML teams.
Strong understanding of data governance, lineage, and quality frameworks.
Experience with Delta Lake and modern lakehouse design.
Familiarity with DevOps practices, CI/CD pipelines, and Infrastructure-as-Code.
Experience working in large-scale enterprise environments with complex data integration needs.
Knowledge of Azure security best practices (RBAC, Key Vault, encryption).

Education

Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (required).
Master's degree is a plus.

Compensation:

$140K - $145K / PA

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: RTX153458
Position Id: 2026-14660
Posted 30+ days ago

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