Data Architect

The Azure Data Architect at Compass Health Center will design and implement scalable data architectures on the Azure platform, develop and maintain data models, and ensure compliance with data security regulations. They will collaborate with stakeholders to understand business needs and lead the implementation of Microsoft Fabric-centric data warehouses.

Candidates for the Data Architect position at Compass Health Center should ideally hold a Bachelor’s or Master’s degree in Computer Science or a related field and have at least 7 years of experience working with large volumes of data. Proven experience as a Data Architect, preferably with Azure, along with strong communication skills and attention to detail, are vital.

Compass Health Center prioritizes data security by ensuring that its Azure Data Architect designs systems that comply with all relevant regulations, incorporates robust data privacy policies, and researches best practices in cloud security to protect sensitive patient information.

The Azure Data Architect at Compass Health Center will work prominently with Azure data services such as Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Familiarity with big data technologies such as Hadoop and Spark is also preferred.

Compass Health Center provides a comprehensive benefits package for its Azure Data Architect position, including medical/dental/vision plans, a 401k program with company matching, generous PTO, parental leave after 1 year of employment, and opportunities for continuous development through CEU seminars.

Certainly! When answering this question, highlight specific Azure services you've utilized, detailing projects where you've successfully implemented these technologies, showing how they contributed to the overall data architecture goals.

Emphasize your understanding of relevant data regulations and how you incorporate security measures in your designs. Discuss the frameworks or tools you employ to maintain compliance.

Mention factors such as scalability, performance, data modeling, ETL processes, and how you ensure that the data warehouse aligns with business requirements and analytics needs.

Discuss your communication skills, approach to translating technical jargon into understandable terms, and examples of successful collaborations that led to effective data solutions.

Explain techniques such as indexing, query optimization, and caching, and cite examples from past projects where you successfully improved data retrieval times.

Share a specific scenario that illustrates your problem-solving skills, how you approached the challenge, and the outcome that benefited the organization.

Detail your familiarity with data modeling tools and ETL frameworks you've used, including specific projects where you built or optimized these processes.

Discuss the resources you utilize, such as tech blogs, online courses, webinars, or community forums, and perhaps mention any certifications you've pursued.

Illustrate your philosophy on mentoring, providing examples of how you have helped junior engineers grow and succeed in their roles through specific guidance and support.

Express your passion for data architecture, alignment with Compass's mission to provide mental health support, and how you believe your skills can make a meaningful contribution to their operations.