Remote Data Architect (Azure and Databricks)

Description:

• We are seeking an experienced Data Architect with extensive expertise in designing and implementing modern data architectures.
• This role requires strong software engineering principles, hands-on coding abilities, and experience building data engineering frameworks.
• The ideal candidate will have a proven track record of implementing Databricks-based solutions in the healthcare industry, with expertise in data catalog implementation and governance frameworks.
• As a Data Architect, you will be responsible for designing and implementing scalable, secure, and efficient data architectures on the Databricks platform.
• You will lead the technical design of data migration initiatives from legacy systems to modern Lakehouse architecture, ensuring alignment with business requirements, industry best practices, and regulatory compliance.
• Key responsibilities include designing and implementing modern data architectures using the Databricks Lakehouse platform, leading the technical design of Data Warehouse/Data Lake migration initiatives, and developing data engineering frameworks and reusable components to accelerate delivery.
• You will establish CI/CD pipelines and infrastructure-as-code practices for data solutions, implement data catalog solutions and governance frameworks, and create technical specifications and architecture documentation.
• Providing technical leadership to data engineering teams and collaborating with cross-functional teams to ensure alignment of data solutions is essential.
• You will evaluate and recommend technologies, tools, and approaches for data initiatives, ensure data architectures meet security, compliance, and performance requirements, mentor junior team members on data architecture best practices, and stay current with emerging technologies and industry trends.

Requirements:

• Extensive experience in data architecture design and implementation is required.
• A strong software engineering background with expertise in Python or Scala is necessary.
• Proven experience building data engineering frameworks and reusable components is essential.
• Experience implementing CI/CD pipelines for data solutions is required.
• Expertise in infrastructure-as-code and automation is necessary.
• Experience implementing data catalog solutions and governance frameworks is required.
• A deep understanding of the Databricks platform and Lakehouse architecture is essential.
• Experience migrating workloads from legacy systems to modern data platforms is required.
• Strong knowledge of healthcare data requirements and regulations is necessary.
• Experience with cloud platforms (AWS, Azure, GCP) and their data services is required.
• A Bachelor's degree in Computer Science, Information Systems, or a related field is required; an advanced degree is preferred.

Benefits:

• The position offers the opportunity to work with cutting-edge technologies in the field of data architecture and engineering.
• You will have the chance to lead significant data migration initiatives and influence the design of modern data solutions.
• The role provides opportunities for professional growth and mentorship, particularly for junior team members.
• You will be part of a collaborative environment that values cross-functional teamwork and innovation.
• The position allows for remote work flexibility, contributing to a better work-life balance.