Senior Data Architect, Data Management & Engineering

Title: Principal/Senior Data Architect
Location: Tempe, AZ (hybrid with Friday remote optional)

The Principal/Senior Data Architect will be a key contributor in defining and executing our client s data strategy and architecture. This role combines hands-on technical expertise with strategic oversight to design, develop, and sustain a scalable and high-performance data ecosystem. The ideal candidate will be pivotal in fostering data-driven decision-making across the organization, focusing heavily on cloud technologies and DataOps practices.

Your role:

• Design and manage the data architecture to collect, store, process, and analyze large volumes of data efficiently.
• Lead the architecture design for our client s data infrastructure, considering current and future needs along with industry best practices.
• Develop blueprints for data storage solutions, ensuring scalability, security, and performance.
• Create and maintain data models to define how data is structured and related within our systems, translating business needs into conceptual, logical, and physical models.
• Evaluate emerging technologies in the data management space and recommend the most suitable tools, platforms, and frameworks.
• Oversee the implementation of data architecture solutions, collaborating with database administrators, software engineers, and other stakeholders.
• Define and enforce data governance policies to ensure data integrity, security, and compliance with regulatory standards.
• Collaborate with cross-functional teams including business analysts, data scientists, and IT professionals to understand data requirements and deliver effective solutions.
• Provide technical leadership and mentorship to junior team members, promoting best practices in data architecture and management.
• Continuously optimize data architecture for performance, reliability, and cost-effectiveness by addressing bottlenecks, tuning systems, or redesigning as needed.
• Lead initiatives to assess and recommend new technologies and methodologies that enhance data capabilities.
• Architect and oversee cloud-based data solutions, ensuring they are optimized for scalability, performance, and cost efficiency.

What you ve got:

• Bachelor s degree in Computer Science, Information Systems, or a related discipline; advanced degree preferred.
• 10+ years of experience in IT, with at least 7 years specializing in data architecture and data management.
• Extensive experience with Snowflake, including architecture design, performance optimization, and security.
• Proficient in Databricks, including Delta Lake, Spark, and MLflow.
• Strong expertise in data integration and ETL/ELT methodologies.
• Experience in data quality management, with a focus on implementing data quality frameworks.
• Advanced skills in data modeling, including dimensional modeling and data vault techniques.
• Experience with real-time data processing and streaming architectures.
• Proficiency in SQL and at least one programming language (e.g., Python, Scala).
• Familiarity with data visualization platforms (e.g., Power BI, Tableau) and related architectural considerations.
• Extensive experience with AWS and Azure cloud platforms, including designing and implementing cloud-based data architectures.
• In-depth knowledge of cloud-native data services such as AWS Redshift, S3, Glue, and Azure Synapse Analytics, Data Lake Storage, and Data Factory.
• Experience with DevOps and DataOps, including CI/CD pipelines, infrastructure as code, and automated testing for data workflows.
• Demonstrated success in aligning data strategies with business goals.
• Excellent communication skills, capable of translating complex technical concepts for both technical and non-technical audiences.
• Strong leadership abilities, with a history of mentoring and guiding team members.

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