AWS Data Architect

Top required skills based on interviews and feedback (Client want to see experience around all of this):

Healthcare Payor / Provider client experience REQUIRED.

Deep experience working as an AWS Data Solution Architect with 5+ years AWS Cloud . Must excel in client/ stakeholder interactions, bridging the gap between technical complexities and business requirements. Clear and concise communication of technical decisions to non-technical stakeholders will be crucial for success and successful adoption

10+ years of creating data engineering solutions, ETL/ELT pipelines on multi-terabyte SQL/NoSQL databases, data warehouse environment

Data Warehouse / Data Platforms (Kafka and Kinesis required) - They have NO INTEREST in folks with just Azure or GCP

Hands-on experience with building AWS POCs for data solutions which include:

Moving legacy on-prem data platforms to the cloud

ETL / Data Modeling / Data Parsing

Data streaming / Realtime data transfer

Business side interaction-Comfortable talking with Business stakeholders and working with them on POCs to gather data requirement and define future state

Experience with Aurora DB loads in real-time/streaming (Kafka, Kinesis).

Experience with data parsing in Json or xml.

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, 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 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, manage and drive execution with help of consultants and associates.

• Diagnose and address complex problems, including performance issues, scale and drive to resolution to meet business initiatives.

• Assist 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.

• Assist and advocate for bringing new technologies for data management, governance, and usage.

• Work hands on with emerging technologies during software evaluations, PoCs and pilots.

• Ensure that data is secure and protected from unauthorize access or modification.

• Required Technical Skills

• Minimum 8 years of experience in data, analytics, AI/ML, insights, business intelligence, data warehouse products, platforms and applications.

• Minimum 5 years of experience in working as 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 applicating with serverless architecture on AWS platforms using Athena, Glue, EC2, Lamda, Kenesis 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, analyzing large volume 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 Vizio, Draw.io and Miro.

• Experience working with RESTful API 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.