Sr. (Transformational) Data Architect

Sr. 'Transformational' Data Architect

Salt Lake City, UT (hybrid)

6month Contract to Hire

Pay Range: $70.00 - $90.00per hour / Salary Target: $150K - $180K

Job Description:

Our EdTech client is seeking a Transformational Data Architect for a contract-to-hire role. The ideal candidate will bring deep expertise in data lakes, data architecture strategy, and the ability to implement a cloud-agnostic strategy across a large-scale organization. With a strong background in AWS, Oracle, and Oracle Exadata, the Data Architect will be responsible for transforming the company's data architecture to support long-term growth and scalability. This role offers the opportunity to shape the future of the organization's data landscape and integrate innovative technologies to optimize data management and usage across the enterprise.

Key Responsibilities:

• Lead the design and implementation of transformational data architecture strategies, focusing on scalability, flexibility, and innovation.
• Develop and execute cloud-agnostic strategies that allow for seamless data management across multiple cloud platforms (AWS, Oracle Cloud, etc.), with an emphasis on cost-efficiency, performance, and security.
• Design and implement data lakes that support large-scale, structured, semi-structured, and unstructured data integration for advanced analytics and machine learning applications.
• Collaborate with cross-functional teams, including Data Engineers, Analysts, and Business Leaders, to create data models and ensure alignment with business goals and data consumption needs.
• Provide expertise in Oracle technologies, particularly Oracle Exadata, to optimize performance and ensure the efficient handling of large, complex data workloads.
• Provide thought leadership in data architecture strategy, influencing key decisions around platform choices and data solutions.

Required Skills:

• 7+ years as a Data Architect, with a focus on transformational and large-scale enterprise data architectures.
• Expertise in data lakes, data management best practices, and the integration of big data solutions.
• Strong experience with cloud-agnostic architecture strategies, with proficiency in AWS and Oracle platforms.
• In-depth knowledge of Oracle technologies, particularly Oracle Exadata, including architecture, performance tuning, and management.
• Proven experience in designing and implementing cloud-based data solutions, including data warehousing, ETL/ELT pipelines, and real-time data processing.
• Strong knowledge of data security, compliance standards (GDPR, CCPA), and regulatory frameworks that impact data management.
• Hands-on experience with data modeling and the design of flexible, scalable, and high-performance data models.

Bonus/Soft Skills:

• Experience working with distributed computing environments and big data technologies (e.g., Hadoop, Spark).
• Strong understanding of data governance practices and how to implement governance frameworks in complex data environments.
• Familiarity with AI/ML use cases in the data ecosystem and their integration into the data architecture.
• Excellent communication skills, with the ability to clearly explain complex technical concepts to both technical and non-technical stakeholders.
• Strong leadership capabilities, with experience in leading cross-functional teams and driving data transformation initiatives.
• Oracle Certified Architect or similar Oracle certifications.
• Cloud certifications (e.g., AWS Certified Solutions Architect) are a plus.
• Certifications in data architecture, big data, or data engineering.
• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field (Master's preferred).

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