Enterprise Data Architect
About The Position
As an Enterprise Data Architect, you will make an impact by designing and implementing scalable, secure, and innovative data solutions that enable strategic decision-making across the organization. You will be a valued member of our data and technology organization and collaborate closely with cross-functional teams, business leaders, and engineering stakeholders. In this role, you will: Develop and lead enterprise data architecture strategies that ensure data quality, integrity, and security across systems. Implement data governance frameworks that support compliance, regulatory standards, and organizational best practices. Design scalable data platforms and solutions using cloud technologies such as GCP, Azure, and AWS. Oversee data integration, transformation, and modeling efforts to ensure seamless access to high‑quality information. Provide technical guidance and mentorship to teams on data architecture, governance, and best practices. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 2 days a week in a client or Cognizant office in Oakland, California. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Requirements
- Proven experience developing enterprise-level data architecture and designing robust, scalable data solutions.
- Strong hands-on expertise with GCP, Azure, and AWS cloud services.
- Demonstrated experience implementing data governance, compliance processes, and data security practices.
- Proficiency with scripting languages for data transformation (e.g., Python, SQL).
- Experience with data integration, modeling, visualization, and applying design patterns for reusable data solutions.
- Ability to collaborate across technical and business teams to improve data accessibility and decision-making.
Nice To Haves
- Certifications such as Certified Data Management Professional (CDMP), AWS Certified Solutions Architect, or Google Professional Data Engineer.
- Experience facilitating workshops or training on data governance, compliance, or architecture best practices.
- Familiarity with emerging technologies and the ability to evaluate and recommend innovative solutions.
- Strong communication skills with the ability to translate complex data concepts for non‑technical stakeholders.
Responsibilities
- Develop and lead enterprise data architecture strategies that ensure data quality, integrity, and security across systems.
- Implement data governance frameworks that support compliance, regulatory standards, and organizational best practices.
- Design scalable data platforms and solutions using cloud technologies such as GCP, Azure, and AWS.
- Oversee data integration, transformation, and modeling efforts to ensure seamless access to high‑quality information.
- Provide technical guidance and mentorship to teams on data architecture, governance, and best practices.
Benefits
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
