Key Responsibilities:

Design and develop the overall data platform architecture, including data models, data pipelines, data warehouses, and data lakes
Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs
Evaluate and select the appropriate data management technologies and tools to support the data platform
Define and implement data security and governance policies to ensure data integrity and compliance with regulations
Develop and maintain data platform documentation, including data dictionaries, data flow diagrams, and data lineage
Monitor and troubleshoot data platform performance issues and implement necessary optimizations
Stay updated with industry trends and best practices in data management and recommend improvements to the data platform
Mentor and train team members on data platform technologies and best practices

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
Proven experience (5+ years) as a Data Platform Architect or a similar role
Strong knowledge of data architecture principles, including data modeling, data warehousing, and data integration
Experience with cloud-based data platforms, such as AWS, Azure, or Google Cloud Platform
Proficiency in SQL and programming languages, such as Python or Java
Familiarity with data management tools, such as Hadoop, Spark, or Kafka
Understanding of data security and governance principles and regulations, such as GDPR and CCPA
Excellent analytical and problem-solving skills
Strong communication and collaboration skills to work effectively with cross-functional teams
Ability to work in a fast-paced and constantly evolving environment

Apply now and take the next step in your career as a Data Platform Architect.

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