Python Data Engineering Manager at Blend360

Montevideo, Amazonas, Peru -

Full Time

Start Date

Immediate

Expiry Date

31 Mar, 26

Salary

0.0

Posted On

31 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AWS, Terraform, Data Engineering, APIs, IAM, Cloud Infrastructure, Event-Driven Architecture, CI/CD, Collaboration, Security, Scalability, Data Management, Backend Development, Technical Leadership, Communication

Industry

Professional Services

Description

Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are seeking a Python Data Engineering Manager to contribute to our next level of growth and expansion. What is this position about? This role focuses on leading the design and implementation of scalable, cloud-based data and identity-related platforms. The Python Data Engineering Manager will work closely with application, product, and platform teams to build and maintain infrastructure, APIs, and integrations that support Identity and Access Management (IAM) and data access frameworks. The position requires strong Python development skills, deep AWS and Terraform experience, and the ability to provide technical leadership while collaborating with globally distributed teams. The role is open to candidates based in Uruguay or Argentina, with remote work available and hybrid options in Montevideo. Job Description Design, develop, and maintain Python-based services and data integrations supporting IAM and access management platforms. Deploy, optimize, and manage cloud infrastructure using Infrastructure as Code (Terraform / Terraform Enterprise). Collaborate with application and product teams to onboard internally hosted, SaaS, and homegrown applications into centralized data and access frameworks. Support integrations between IAM tools and enterprise platforms such as IGA solutions, ServiceNow, and Okta. Perform high-level data mapping and data management activities to integrate application user access data. Develop and maintain Terraform Enterprise (TFE) projects, AWS resources, and reusable modules. Build and maintain event-driven and serverless systems using AWS services. Design and support APIs and backend services for platform integrations. Contribute to CI/CD pipeline design, code quality standards, and best practices for collaborative development. Act as a technical reference for best practices in architecture, security, and scalability. Qualifications Advanced experience developing, debugging, and testing Python applications. Strong knowledge of software engineering best practices, including source control and collaborative development workflows. Hands-on experience with Terraform / Terraform Enterprise, including module design, dependency management, and project structuring. Solid experience with AWS services such as Lambda, ECS, API Gateway, ALB, DynamoDB, Aurora RDS, SNS, and SQS. Experience building event-driven architectures and serverless or containerized solutions. Proven experience designing and maintaining CI/CD pipelines. Strong communication skills and ability to collaborate with cross-functional, distributed teams. Availability to work flexible shift hours to support global communication when needed. Nice to have: Knowledge of access management and authorization concepts. Experience working with PBAC, RBAC, or ABAC models. Familiarity with the ServiceNow platform. Prior exposure to IAM or identity-centric data platforms. What about languages? Advanced English proficiency is required for effective communication with international teams and stakeholders. How much experience must I have? We are looking for candidates with 6+ years of experience in data engineering, backend engineering, or related roles, with demonstrated technical leadership experience. Additional Information Our perks and benefits: 🍔 Every day lunches! (headquarters): Vegetarian, vegan, gluten and sugar free options. Gourmet meals every Friday with our on-site chef! ⚖️ Flexible working options to help you strike the right balance. 👨🏽‍💻 All the equipment you need to harness your talent (Macbook and accessories). ☕ Snacks and beverages available everyday (headquarters). 🎮 After office events, football, tennis and game nights (headquarters). ⚽️ Everyone is welcome to join our football league every Wednesday’s and Friday’s. Challenge your teammates to a pool game and win the office’s trophy! Tennis courts available for friendly matches. Not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join! 📚 Learning opportunities: AWS Certifications (we are AWS Partners). Study plans, courses and other certifications. English Lessons. Learn from your teammates on our Tech Tuesdays! 👩‍🏫 Mentoring and Development opportunities to shape your career path. 🎁 Anniversary and birthday gifts. 🏡 Great location and even greater teammates! So what are the next steps? Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!

Responsibilities

The Python Data Engineering Manager will lead the design and implementation of scalable, cloud-based data and identity-related platforms. This includes developing Python-based services, managing cloud infrastructure, and collaborating with various teams to support IAM and data access frameworks.