Data Solution Architect - Remote / Telecommute, Missouri

Job Description:

Responsibilities:

Perform required due diligence and define/design data strategy/architecture that aligns with business objectives, ensuring data integrity, availability and security.

Design and establish data management frameworks, including data ingestion, storage, processing and retrieval process that support operational and analytical needs.

Design and establish data integration patterns including third party SaaS integration covering batch, near real time and realtime needs.

Evaluate and select appropriate (and emerging) technologies/tools that meets the business needs.

Work closely with stakeholders across the organization, including external teams, product managers, developers and and enable collaborative data culture.

Client, analyze and scope data requirements & create high level process models to represent processes for the area under analysis.

Proactively research and share emerging technologies and right solution fitment

Arrive at solutions including data flow diagrams, process diagrams, use case models, etc.

Guide & mentor junior Architects and Data Engineers.

Qualification And Skills Required:

Bachelor s or Master s degree preferably in Computer Science or Information Technology or related field.

10+ years of experience in data strategy, architecture, data integration with at least 5 years in Architect role.

Healthcare domain experience.

Strong hands-on experience with cloud data solutions.

Particularly with GCP services like BigQuery, Dataproc, DataFlow, DataForm, CloudSQL, Spanner, etc.

Implementation experience of cloud architecture patterns.

Exposure to multiple cloud data solutions.

Expertise in ETL/ELT Tools, Services and frameworks for handling large scale data processing.

Exposure to various data integration patterns supporting batch, near realtime, real time with hands on implementation experience including Tools, API, pub/sub, etc

Hands on third party integration experience with Salesforce, etc

Experience with Microservices architecture preferred.

Understanding of AI and machine learning frameworks.

Proficiency in programming languages and scripting for automation.

Strong analytical and problem solving skills with a focus on delivering high quality data solutions.

Proficiency with a range of database systems and hands on experience in data warehousing technologies.

Proven ability to lead and mentor technical teams in data architecture/engineering best practices.

Demonstrated experience with BI tools.

Strong interpersonal and communication skill.