Software Development Manager, Data Platform
Team: Data, AI, & Interoperability Platform - Dev
Location: Bogotá, Colombia, Medellin
Commitment: Full Time - Permanent
Workplace Type: remote
What you will be doing
- Lead delivery of the Data Platform product and technical roadmap, guiding architecture and execution to ensure the platform scales reliably, performs efficiently, and continues to meet the evolving needs of customers and partners.
- Lead, coach, and grow a team of data and platform engineers responsible for building and operating the Data Platform.
- Collaborate with Product, domain SMEs, and downstream consumers to translate business and customer needs into clear platform roadmaps and delivery plans
- Provide technical leadership by guiding architectural decisions, reviewing designs, and ensuring implementations align with platform standards and long-term maintainability
- Ensure the Data Platform meets observability, privacy, security, and compliance requirements, working closely with QA, Security, and Compliance teams
- Drive operational excellence, including incident response, post-mortems, and continuous improvement of data freshness, accuracy, reliability, performance, and cost efficiency
- Partner with DevOps and DevSuccess to improve CI/CD pipelines, deployment practices, monitoring, and alerting for data systems
- Actively manage and reduce technical debt, balancing near-term delivery with long-term platform health
- Hire, onboard, and develop engineers, providing coaching, feedback, performance management, and career development support
- Serve as an escalation point for complex delivery, operational, or technical issues, helping teams navigate ambiguity and make sound trade-offs
What you’ll bring
- 4+ years of people management experience leading software or data engineering teams
- 8+ years of professional engineering experience, with a strong background in data engineering, platform systems, or distributed systems
- Experience leading teams that build and operate data ingestion pipelines, ETL workflows, and cloud-based data platforms
- Solid understanding of data lake architectures, data quality practices, metadata/cataloging systems, and data governance
- Experience delivering cloud-native systems on AWS, with awareness of scalability, reliability, security, and cost trade-offs
- Strong communication and leadership skills, with the ability to align engineers and stakeholders around shared outcomes
- Strong English language communication and collaboration skills
Nice to have
- Experience operating platforms in regulated or compliance-heavy environments
- Familiarity with accounting, auditing, or financial workflows
- Experience supporting partner ecosystems or customer-managed data integrations
Technology stack your team works with
- Frameworks / Languages: Python 3.11+, Java 21+, SQL
- Cloud & Infrastructure: AWS (Lambda, Step Functions, SNS, SQS)
- Data Lake & Analytics: AWS (S3, Athena, Glue, Lake Formation)
- Data Observability & Quality: AWS (Glue Data Quality, CloudWatch), New Relic
- Developer Tooling: GitHub, GitHub Copilot, GitHub Actions, Intellij
- Collaboration: Atlassian Cloud (Jira, Confluence), Microsoft Teams, Microsoft 365 Cloud
Perks & Benefits
- ¨Contrato a termino Indefinido¨ with all the legal benefits
- Prepaid Medicine
- Life insurance and funeral assistance
- Internet allowance
- Home office stipend
- Competitive compensation — above the market average
- 100% remote work environment and an excellent work-life balance
- Opportunity to work for a growing global SaaS leader company
- A culture that promotes independence, innovation, trust, and accountability
- Open space to be creative, innovative and strategize for the future
- Mentorship by highly experienced professional
- Budget for training, we want you to grow
- 5 Personal Time Off days per year
- Sick Leave Top up to total 100% of salary paid by the employer from Day 3 to 90.
- Recognition Award, additional paid time off in recognition of the corresponding year of service
- Upgrade vacation starting at 5 years of service
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