- Design and implement highly scalable and reliable data architectures, including data ingestion, processing, storage, and analytics.
- Provide technical and architecture leadership to the data, analytics and business intelligence groups being cognizant of the future direction of systems and how that direction will impact the data and analytics platforms.
- Develop and implement the integration architecture to enable seamless integration of data across various systems and applications.
- Conduct architecture reviews to ensure the platform meets the desired requirements and is aligned with the overall business architecture.
- Ensure the platform is designed to support the use of advanced analytics techniques, such as machine learning and artificial intelligence.
- Work closely with cross-functional teams to understand data requirements and translate them into technical solutions.
- Define data architecture standards, policies, and procedures for managing data.
- Demonstrated understanding of data management best practices and pattern.
- Develop the architecture to support data collection, storage, processing, and delivery across a variety of data sources.
- Collaborate to build data strategy, direction and roadmap for data management, data quality and data assets.
- Ensure the platform is compliant with all applicable data privacy regulations and best practices.
- Collaborate with developers and data engineers to implement data solutions and ensure they are scalable, reliable, and high-performance.
- Provide technical guidance and mentorship to other team members.
- Stay up to date with industry trends and emerging technologies related to data platforms and provide thought leadership within the organization.
- Bachelor's or Master's degree in computer science, Data Science, or a related field.
- 10+ years of experience in designing and implementing enterprise-level data and analytics platforms.
- Experience working with Databricks.
- In-depth knowledge of data architecture principles, relational and NoSQL databases, data processing, and data warehousing.
- Experience in designing and implementing cloud architecture, preferably AWS.
- Strong analytical and problem-solving skills. Ability to quickly understand how various elements relate to one another, having an end-to-end perspective of decisions and anticipating issues/roadblocks.
- Expert level knowledge of modern relational and NoSQL databases, data warehousing, data formats, data modeling, and data standards in healthcare like FHIR/HL7 is preferred.
- Experience in supporting the design and specification of data presentation and knowledge of reporting, analytics, and trending.
- Experience in integrating data from multiple source systems.
Requires knowledge and experience in data warehousing (ETL, ODS, Star Schemas, OLAP, Dimensional modeling etc.); knowledge and understanding of different data management methodologies. - Ability to communicate effectively and work collaboratively with disparate clients.
- Ability to independently lead or facilitate meetings.
- Ability to identify potential solutions and take initiative.
- Must be able to work independently and within a team and handle sensitive data professionally.
- Must be able to work on multiple projects concurrently and work within deadlines.
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Architecture Senior Advisor - Bloomfield, United States - The Cigna Group
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Description
This position will support the implementation and the continued evolution of Organization's Data and Analytics Strategy. The Data Solution Architect will provide thought leadership, contribute to, and facilitate the development, maintenance, and execution of solution architecture and roadmap.
Responsibilities:
Qualifications: