Enterprise Data Architect

The Enterprise Data Architect is responsible for defining, governing, and evolving the enterprise-wide data architecture strategy across customer, consumer, manufacturing, and supply chain domains. This role ensures alignment between business strategy, data platforms, analytics, and emerging AI capabilities while driving scalability, security, and standardization.

Key Responsibilities:

• Define enterprise data architecture principles, standards, and target-state roadmaps

• Design end-to-end data architectures covering ingestion, storage, processing, analytics, and AI

• Partner with business, analytics, and technology leaders to translate strategic objectives into scalable data solutions

• Provide architectural governance across multiple programs and initiatives

• Establish standards for data integration, master data management (MDM), metadata, and data quality

• Evaluate, select, and standardize cloud-based data and analytics platforms

• Ensure compliance with security, privacy, regulatory, and resiliency requirements

• Identify and Implement Automation

• Bring in new or Emerging Technology concepts and implement

• Identify Business Use cases across the
  
  

Technology Stack (Representative):

• Cloud Platforms: Azure

• Architecture Patterns: Lakehouse, Data Mesh, Event-Driven Architecture

• Data Platforms: Snowflake, Azure Synapse, Databricks

• Integration & Streaming: Kafka, Event Hubs, API Management

• Analytics & BI: Power BI, Tableau, Looker

• Governance & Security: Microsoft Purview, Collibra, IAM, encryption frameworks
  

AI & Advanced Analytics (Preferred):

• Defining enterprise AI and advanced analytics architectures

• Experience with ML platforms, MLOps, and AI lifecycle governance

• Understanding of generative AI, LLMs, and responsible AI adoption

• Applying AI to demand planning, customer insights, intelligent manufacturing, and supply chain optimization
  
  

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

• 12–16 years of experience in enterprise data architecture

• Deep experience with customer, manufacturing, or supply chain domains

• Strong stakeholder influence and architecture governance leadership

The pay range that the employer in good faith reasonably expects to pay for this position is $72.12/hour - $112.68/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

Salary : $72 - $113