Data Architect

Data Architect

Develop and maintain the organization's data architecture by designing, building, and maintaining data models, data dictionaries, and data flow diagrams.

Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.

Identify data gaps and inconsistencies and develop strategies to address them.

Develop and implement data standards and best practices.

Develop and implement data integration strategies and oversee data integration processes.

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

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

Minimum 10 years of progressively responsible work experience in data solutioning, architecture, design, and development.

Minimum 5 years of experience in working as Solution/Data Architect on cloud platforms (AWS is highly desirable).

Minimum 5 years of experience with ETL/ELT design and development using tools like Talend, Informatica, Databricks, 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 2 years of experience with building applications with serverless architecture on AWS platforms using Athena, Glue, EC2, Lambda, Kenesis.

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.