Data Architect

Mid / Senior


In Office / Remote

Meytier Premier Employer

Working there

About This Workplace

Meytier Partner

You will be a key leader in designing and implementing our data architecture, which is central to our value proposition and crucial to our company's success. As a Data Architect at Cohere, you will work with a high degree of autonomy to design and optimize data warehouses, ensure data governance, and enable data-driven decision-making across the business. You will partner closely with data, product, and engineering teams to solve complex problems and deliver scalable solutions.

Key Responsibilities:

  • Lead the design, implementation, and optimization of our data warehouse and governance policies to ensure scalability and compliance with healthcare regulations.
  • Work closely with stakeholders to understand data requirements and deliver actionable insights that can be efficiently productized.
  • Design, develop, operationalize, and maintain the data models, both logic, physical and conceptual to support various business use cases.
  • Collaborate with cross-functional teams to define data architecture standards and best practices.
  • Ensure data quality, integrity, and security across all data sources and systems.
  • Provide technical leadership and mentorship to data engineering and management teams.
  • Create and manage data governance frameworks, including data catalogs, lineage, and metadata management.
  • Stay current with emerging data technologies and evaluate their potential impact on our architecture.

Desired Profile:

  • 4+ years of experience leading data architecture initiatives in a fast-paced, agile environment.
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field with at least 12 years of relevant experience.
  • Proven track record of designing and implementing scalable data warehouses and governance policies.
  • Expertise in SQL and proficiency in data modeling and design. Experience having integrated NoSQL systems as part of a broader data architecture.
  • Hands-on experience with ETL processes, data integration, and data quality frameworks.
  • Experience with data governance tools and practices.
  • Experience building data platforms using python, AWS, Airflow, dbt, and data warehouses.
  • Familiarity with healthcare data standards such as HL7, FHIR, and CCDA.
  • Strong understanding of data privacy and security regulations, including HIPAA.
  • Experience with business intelligence tools like Tableau or PowerBI.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills. 

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