Data Solution Architect - Remote / Telecommute
Apply NowCompany: Cynet Systems
Location: Saint Louis, MO 63129
Description:
Job Description:
Responsibilities:
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
- rrive at solutions including data flow diagrams, process diagrams, use case models, etc.
- Guide & mentor junior Architects and Data Engineers.
- 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.