Job Description

Job Description NO WEST COAST CANDIDATES will be considered. (Healthcare domain knowledge required) (Need Local's folks) I still need more for this one if anyone has a candidate that has not been submitted yet. They are VERY particular, so do not send candidates that do not meet the requirements. Thanks. Note: This role was open for months and I finally filled it back in August. They have released another role for the same position. Please ask if the candidate was submitted to this role in 2024 as all previous candidates submitted to the client had been interviewed / rejected. Please do not submit Gautam C. If you have a Gautam C. you are looking at, send me a note and I'll tell you if it is the same person. Healthcare payor space (HC insurer, hospital) is required. Please let me know if you have anyone that is a strong fit. PLEASE DO NOT SEND CANDIDATES THAT DON'T CLEARLY MEET THE REQUIREMENTS as it will make the review time much longer. Thanks. Please submit candidates that fit the following job description. 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 unauthorized 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 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, 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 Visio, 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. #J-18808-Ljbffr ZipRecruiter

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