Overview
On Site
USD 143,000.00 - 185,000.00 per year
Full Time
Skills
Microsoft
Data Governance
Access Control
Data Security
Management
Data Structure
Data Warehouse
Advanced Analytics
Data Modeling
Meta-data Management
Data Integration
Workflow
Data Architecture
Data Engineering
Computer Science
Information Systems
Amazon Web Services
Amazon S3
Amazon Redshift
Data Lake
Databricks
Storage
PySpark
Python
SQL
Microsoft Power BI
Visualization
Extract
Transform
Load
ELT
Vector Databases
Cloud Security
Encryption
Regulatory Compliance
HIPAA
Continuous Integration
Continuous Delivery
GitHub
Terraform
Microsoft Azure
DevOps
Real-time
Data Processing
Apache Kafka
Amazon Kinesis
Apache Spark
Streaming
Problem Solving
Conflict Resolution
Debugging
Performance Tuning
Leadership
Collaboration
Analytics
Machine Learning (ML)
User Guides
Innovation
Cloud Computing
Artificial Intelligence
Life Insurance
Job Details
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
How You Will Get Here:
Non-Technical Qualifications:
Compensation and Benefits
The salary range estimated for this position based in California is $143,000.00-$185,000.00.
This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
For more information on our benefits, please visit:
Standard (Mon-Fri)
Environmental Conditions
Office
Job Description
- Build, develop, and implement secure, scalable, and high-performance data solutions using AWS, Microsoft Azure, Databricks, and Microsoft Fabric (Power BI).
- Architect end-to-end multi-cloud data platforms, ensuring detailed integration across enterprise data sources, storage, processing, AI services, and consumption layers.
- Set up and enforce data governance, security, and compliance protocols within AWS and Azure cloud environments, guaranteeing appropriate access controls and data protection strategies.
- Manage the assessment and implementation of cloud-based data structures, such as data lakes, data warehouses, real-time streaming, and advanced analytics.
- Collaborate with cross-functional teams, including Data Engineers, Data Scientists, AI/ML Engineers, Security Architects, and Business Analysts, to drive the adoption of modern data and AI architectures.
- Maintain guidelines for data modeling, cataloging, lineage tracking, and metadata management across Databricks, Redshift, Synapse, Fabric Lakehouse, and Power BI ecosystems.
- Drive innovation in data integration, AI-powered data mesh strategies, agentic AI workflows, and self-service analytics capabilities for enterprise users.
How You Will Get Here:
- Over 8 years of expertise in data architecture, data engineering, or cloud-based data/AI solutions.
- BS/MS or equivalent experience in Computer Science, Information Systems, or a related field.
- Shown proficiency in multi-cloud solutions (AWS and Azure), encompassing S3, Redshift, Glue, Lambda, Kinesis, Azure Data Lake, Synapse Analytics, and Fabric.
- 3+ years working with Databricks and/or Fabric Lakehouse, developing scalable data pipelines, improving Delta Lake storage efficiency, and incorporating security measures.
- Demonstrated proficiency in PySpark, Python, SQL, and Power BI for tasks involving data processing, visualization, ETL/ELT, and transformation.
- Exposure to RAG architectures, vector databases, and agentic AI frameworks for enterprise-scale knowledge and retrieval systems.
- Expertise in cloud security guidelines, IAM roles, encryption strategies, and compliance frameworks (GDPR, HIPAA).
- Proficiency in CI/CD practices for data solutions using GitHub, GitHub Actions, Terraform, and Azure DevOps or equivalent experience.
- Experience implementing real-time and batch data processing solutions using Kafka, Kinesis, Spark Streaming, or Event Hubs.
- Strong problem-solving skills with debugging, performance tuning, and AI/ML model deployment in cloud environments.
Non-Technical Qualifications:
- Effective leadership abilities to build technical choices and steer teams towards data-driven enterprise solutions.
- Outstanding interpersonal skills to translate sophisticated technical and AI concepts into business-aligned solutions.
- Demonstrable ability to collaborate with team members across IT, business, and AI/analytics departments.
- Experience in crafting AI/ML user documentation, solution blueprints, and architecture diagrams.
- Passion for continuous learning, innovation, and staying ahead of evolving cloud, AI, and data technologies.
Compensation and Benefits
The salary range estimated for this position based in California is $143,000.00-$185,000.00.
This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
- A choice of national medical and dental plans, and a national vision plan, including health incentive programs
- Employee assistance and family support programs, including commuter benefits and tuition reimbursement
- At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
- Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
- Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit:
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.