From our start in 2009, Conexess has established itself in 3 markets, employing nearly 200+ individuals nation-wide. Operating in over 15 states, our client base ranges from Fortune 500/1000 companies to mid-small range companies. For the majority of the mid-small range companies, we are exclusively used due to our outstanding staffing track record.
Who We Are:
Conexess is a full-service staffing firm offering contract, contract-to hire, and direct placements. We have a wide range of recruiting capabilities extending from help desk technicians to CIOs. We are also capable of offering project-based work.
Conexess Group is aiding a large healthcare client in their search for a Data Architect located in Bloomfield, CT, Morris Plains, NJ, or Philadelphia, PA. This is a long-term opportunity with a competitive compensation package.
** This is a hybrid position requiring 2-3 days onsite per week in Bloomfield, CT, Morris Plains, NJ, or Philadelphia, PA**
******We are unable to work C2C on this role******
Responsibilities:
Develop the architecture to support data collection, storage, processing, and delivery across a variety of data sources.
Develop and implement the integration architecture to enable seamless integration of data across various systems and applications.
Develop the security architecture to ensure that the platform is secure, reliable, and meets compliance requirements.
Create technical specifications and detailed design documents to ensure the platform is scalable and meet business requirements.
Provide technical leadership to the development team during the software development lifecycle.
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.
Ensure the platform is compliant with all applicable data privacy regulations and best practices.
Partner with data engineers and data scientists to implement data collection, analysis, and modeling.
Stay up to date with industry trends and emerging technologies related to data platforms, and provide thought leadership within the organization.
Qualifications:
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.
Familiarity with machine learning and artificial intelligence techniques and their application in building analytics platforms.
Experience working with Databricks and preferably Domino.
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.