Job Title: Enterprise Data Architect with Databricks and Epic Clarity
Location: Remote
About the Role:We seek a skilled Enterprise Data Architect responsible for designing and implementing robust data architectures that support our client's strategic objectives. This role requires a deep understanding of Databricks, Epic Clarity Data Model, data engineering, data governance, and advanced analytics. The ideal candidate will have a proven track record in building scalable data solutions and a passion for transforming data into actionable insights.
Responsibilities:- Design and implement scalable, secure, high-performance data architectures using Databricks and other modern data technologies.
- Collaborate with business stakeholders, data scientists, and teams to understand data requirements and translate them into architectural solutions.
- Develop and maintain data models, data integration frameworks, and data pipelines to support analytical and operational use cases.
- Leverage expertise in the Epic Clarity Data Model to integrate and optimize healthcare data for analytics and reporting.
- Ensure data quality, data governance, and data security best practices are followed across the organization.
- Optimize data storage, retrieval, and processing to enhance data accessibility and performance.
- Provide technical leadership and mentorship to data engineers and other team members.
- Stay current with emerging data technologies and industry trends to continuously improve data architecture and analytics capabilities.
- Develop and enforce data management policies and standards.
- Lead data migration and data integration projects, ensuring seamless transitions and minimal disruption to business operations.
Qualifications:- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
- Proven experience as a Data Architect, preferably in an enterprise Epic environment.
- Expertise in Databricks, including Databricks Delta Lake, Databricks SQL, and Databricks MLflow.
- Strong knowledge of the Epic Clarity Data Model
- Strong knowledge of data engineering concepts, ETL processes, and data integration techniques.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Proficiency in programming languages such as Python, Scala, or Java.
- Familiarity with big data technologies such as Spark, Hadoop, and Kafka.
- Strong understanding of data governance, data quality, and data security practices.
- Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.
- Strong communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
- Relevant certifications in Databricks, Epic, or cloud platforms are a plus.
