Lead AI & Data Architect

Projas Technologies, LLC
Sacramento, United States
3 months ago
Apply on dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Application Frameworks Microsoft Azure C Sharp (Programming Language) Cloud Computing Cloud Engineering Computer Programming Data Architecture Information Engineering Data Infrastructure
+22 more
Data Integration Data Systems Data Visualization Data Warehousing Software Design Documents Python (Programming Language) Query Optimization Power BI SQL Databases Systems Integration Google Cloud Snowflake Generative AI Event Driven Architecture Infrastructure Automation Frameworks Information Technology Deployment Automation Data Management Terraform Data Pipelines Amazon Redshift Microservices

Job description

We are seeking a Lead AI & Data Architect to drive enterprise-scale transformation by integrating advanced AI capabilities into modern data warehouse and analytics platforms. This is a high-impact leadership role responsible for owning end-to-end solution architecture, guiding technical strategy, and ensuring alignment with enterprise standards, AI governance, and security frameworks.

You will act as a trusted advisor to senior leadership, business stakeholders, and engineering teams, while leading multiple concurrent initiatives across AI, data engineering, and cloud platforms., * Lead architecture and delivery of AI-enabled data warehouse and BI solutions

  • Define and implement end-to-end enterprise architecture aligned with business goals
  • Design and integrate Generative AI capabilities into analytics and data platforms
  • Ensure compliance with enterprise architecture standards, AI governance, and security policies
  • Architect scalable, high-performance data solutions across cloud environments
  • Lead cross-functional engineering teams, providing mentorship and technical direction
  • Design secure integration patterns using APIs, microservices, event-driven systems, and data pipelines
  • Collaborate with executive stakeholders to define technology strategy and roadmap
  • Establish best practices, standards, and reusable frameworks for enterprise systems
  • Oversee cloud deployment strategies and infrastructure automation

Requirements

  • 10+ years of IT experience with expertise in:

  • Enterprise architecture design
  • Data modeling and data warehouse implementation
  • Advanced analytics platforms

3+ years of experience integrating Generative AI into BI/data warehouse ecosystems

5+ years of cloud architecture experience (AWS, Azure, or Google Cloud Platform)

Strong experience with Infrastructure as Code (Terraform or similar)

5+ years leading technical teams in complex enterprise environments

Extensive experience designing secure, scalable integration architectures, including:

  • APIs
  • Microservices
  • Event-driven systems
  • Data integration pipelines

Preferred Qualifications

  • 5+ years hands-on programming experience with:

  • Python and/or C#
  • SQL and advanced query optimization

Experience with modern data platforms such as:

  • Snowflake
  • AWS Redshift

Experience building data visualization and dashboards (Power BI or similar)

Strong expertise in creating:

  • Architecture diagrams
  • Technical design documentation
  • Standards and best practices

Proven ability to communicate technical concepts to executive audiences

Work Environment

  • Onsite role (5 days/week) in a collaborative enterprise environment
  • Opportunity to work on cutting-edge AI initiatives at scale
  • High visibility role with direct interaction with senior leadership

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

1:34 min

Essential commands for running and testing Terraform configurations

Hennie Francis · LIVE

52 sec

Transitioning from software consulting to AI building

Malte Lensch Malte Lensch · World Congress 2026 Europe

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all

Related articles

See all