Data Architect

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 such as 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 is a huge plus.
Excellent verbal and written communication skills.