Senior Data Architect

9 hours ago

Tempe, Arizona, United States Phoenix Staff Inc Full time
Job Title: Senior Data Architect - Cloud Expert

We are seeking a highly skilled Senior Data Architect to lead our cloud-based data architecture initiatives. As a key member of our team, you will be responsible for designing and implementing scalable and high-performance data ecosystems.

Key Responsibilities:

  • Design and manage 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.
  • 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 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.

Requirements:

  • 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 Azure cloud platform, 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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