Data Architect - USA
Discovery Partners
Responsibilities:
- Develop and drive an architectural vision to support continued aggressive growth of our clients
- Collaborate with clients, project managers, and stakeholders to understand their data requirements, business objectives, and technical constraints
- Design, develop, and maintain conceptual, logical, and physical data models that align with business goals, industry best practices, and scalability requirements
- Develop well architected Domain Driven solutions, optimized for cost, operations, performance, reliability and security
- Define data integration, migration, and transformation strategies to ensure seamless data flow across systems and platforms
- Develops and drives the cloud data strategy along with the introduction of new emerging technologies and AWS services, cloud adoption plans, cloud application design, and cloud management and monitoring strategies
- Designs target state Cloud Architecture, partnering with other areas, such as Cloud Application Engineers, Cloud Infra Architects, and Cloud Engineering and Development teams
- Develops Reusable Patters for Data application development in AWS to deploy and modernize applications, provide governance around adoption, and affect application development teams on roadmaps and designs
- Develops short – and – long-range product and service strategies and plans. Oversees the implementation of operating plans for specified area of responsibility
- Evaluate and recommend appropriate technologies, tools, and frameworks for data storage, processing, and analytics
- Develop and enforce data governance policies, standards, and procedures to ensure data quality, security, and compliance
- Create and maintain data architecture documentation, including data dictionaries, data flow diagrams, and data lineage
- Collaborate with development teams to ensure data architecture guidelines are followed during system design and implementation
Qualifications:
- Bachelor’s or master’s degree in computer science, information systems, or a related field
- A minimum of 8 years hands-on design and implementation experience in data architecture landscape, including migrating legacy platform to big data platform
- 5 or more years of experience in designing and building SQL, no-SQL, big data, GraphDB, APIs, Kafka, Apache Flink and streaming solutions
- 3 or more years of experience in the following technical disciplines: application development, middleware, database management or operations, security integration
- Proficient in defining current and future state Data Architectures
- In depth knowledge of AWS platform
- Experience migrating on-prem applications to cloud using Refactoring, Rearchitecting and Re-platforming approach including 12 factor app approach
- Strong knowledge of data modelling techniques, data warehousing concepts, and database management systems
- Proficiency in designing and implementing data solutions using relational databases and NoSQL databases
- Experience with data integration technologies such as ETL/ELT tools and data integration patterns
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data-related services (S3, Redshift, BigQuery)
- Knowledge of data governance frameworks, data quality management, and data security best practices
- Confluent Certified Developer for Apache Kafka and/or Confluent Certified Administrator for Apache Kafka certification