Enterprise Solution Architect

Job Title: Enterprise Solution Architect with Strong Python Skills


Duration: 6+ Months


Location: Remote

Job Summary:


The client here is looking for an Architect with Strong BI Skills with Python background to move and ingest data as needed to meet financial regulatory audit requirements. This role will be building python services within a distributed highly available system, leveraging and possibly updating CI/CD pipelines and incorporating automated testing using Pytest. This includes crafting the logic that solves data problems that come up when dealing with disparate systems, like data ingress, quality, governance, and transformation.


Responsible for designing, developing, and maintaining the internal IT control reporting system.


Design, develop, and maintain system using back-end Python and PostgreSQL.


Unit and integration testing using Pytest


Contribute to data modeling and native SQL optimization


Collaborate with cross-functional teams to identify business requirements and develop solutions that meet those needs.


Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives.


Write high-quality, testable, and maintainable code that adheres to coding standards.


Develop and maintain APIs and micro-services including design, implementation, and testing.


Participate in code reviews and provide constructive feedback to peers.


Troubleshoot and resolve technical issues, including debugging and optimizing code.


Take ownership of tasks and work independently, while being a strong team player that collaborates with others.


Production support will be required with some occasional evening and weekend work.


Must Haves:


Highly proficient in native SQL (not ORM) and data modeling (3+ yrs)


Minimum 5 years of Python software engineering using event-driven architecture


Minimum 5 years of working with Micro-Services, Git, SQL programming using PostgreSQL


Minimum 2 years Unit, Integration, Functional, Data Quality (source-to-target) testing


Creating, managing, and maintaining Containers (2 + yrs)


Proficient with containerizing existing python and database systems and deploying to Kubernetes with scalable microservices


Minimum 1 year of working on an Agile Scrum delivery project


Experience working with tera/petabytes of data


Good software design experience and knowledge of design principles


Solid communication skills and experience working directly with customer Software Engineer's and Product Owner's


Leadership mentality, leading teams a plus


Very strong teamwork spirit and ability to collaborate with cross-functional stakeholders and teams


Ability to take ownership of tasks and provide effective design and implementations


Must have skills


Data Build Tool (DBT)


Kubernetes


Queuing Svc's, Redis Queue, Postgres, FastAPI and Pytest


Terraform, Ansible, Bash, and Docker Compose