AWS Data Solution Architect

Job Responsibilities Creates and maintains overall data & analytics solutions for applications / products across multiple projects of medium complexity.Performs POC to establish standard data & analytics solution patterns that can be leveraged for multiple products and applications.Ensures that the design is consistent with the overall enterprise architecture.Responsible for securing approvals from review boards for the data & analytics solutions.Partners with peer solution architects, engineering, product, and operations teams to build feasible & scalable solutions.Researches and documents architecturally significant aspects / views of the systems.Ensures consistent use of technologies and platforms within data & analytics ecosystems.Leads or participates in project planning of architecture and design activities and provides estimates.Contributes to the creation of our IT Roadmap.Responsible for application planning and platform management.Establishes enterprise-level Data Security, Master Data Management, and Reference Data Management guidelines.Translates detailed business requirements into optimal technology solutions using AWS services, Lambda, EC2, Glue, and other leading open-source tools and technologies.Manages technical delivery for projects, designs processes, and manages and drives execution with the help of consultants and associates.Diagnoses and addresses complex problems, including performance issues, scale, and drives to resolution to meet business initiatives.Assists data analysts and end users across all functional areas in identifying long-term, strategic data needs for the enterprise, defining how the data is related to the business processes, and developing a conceptual and functional model of the data.Assists and advocates for bringing new technologies for data management, governance, and usage.Works hands-on with emerging technologies during software evaluations, PoCs, and pilots.Ensures that data is secure and protected from unauthorized access or modification.Required Technical SkillsMinimum 8 years of experience in data, analytics, AI / ML, insights, business intelligence, data warehouse products, platforms, and applications.Minimum 5 years of experience working as a Solution / Data Architect on cloud platforms (AWS is highly desirable).Minimum 4 years of experience with ETL / ELT design and development using tools like Talend, Informatica, AWS Glue, Oracle Data Integrator (ODI), or equivalent.Minimum 5 years of experience in database architecture using relational SQL (e.g., Oracle, PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB, Elasticsearch).Minimum 4 years of experience with programming languages Node.js, Python, Java, or Scala.Minimum 3 years of experience with building applications with serverless architecture on AWS platforms using Athena, Glue, EC2, Lambda, Kinesis, etc.Minimum 2 years of experience with large-scale data processing platforms such as Spark, EMR, and / or HPC computing experience with e.g., Apache Aurora, Slurm.Minimum 4 years of solutioning experience in AWS Cloud environment leveraging multiple services for storage, processing, and analyzing large volumes of data.Strong database architecture, critical thinking, and problem-solving abilities, along with an ability to handle ambiguous and evolving requirements.Minimum 2 years of experience with building solutions using tools like Visio, Draw.io, and Miro.Experience working with RESTful APIs and general service-oriented architectures.Experience with DevOps, Continuous Integration, and Continuous Delivery technologies is desirable.AWS Solution Architect certification (associate & above) is highly desirable.Healthcare domain knowledge required.Excellent verbal and written communication skills.#J-18808-Ljbffr