As Manager Data Platform you will lead a team responsible for building evolving and operating Pismos core data platform capabilities (batch and streaming). Your mission is to ensure our data services are reliable scalable secure and cost-efficient enabling internal teams and partners to deliver high-quality data products at scale.
You will combine people leadership technical direction and cross-functional collaboration to drive platform excellencebalancing roadmap delivery with operational stability quality and continuous improvement.
What You Will Do (Key Responsibilities):
1) Lead and Grow a High-Performing Team
Lead coach and develop a team of data platform engineerssupporting technical growth career progression and performance.
Create a culture of ownership quality and operational excellence (e.g. postmortems SLO discipline and proactive improvements).
Provide timely feedback remove blockers and help the team deliver with high impact and predictability.
2) Own the Data Platform Roadmap & Execution
Define and execute the platform strategy and roadmap aligned with company priorities and partner needs.
Drive platform evolution across architecture tooling and developer experiencereducing complexity and technical debt.
Establish clear goals success metrics and service-level objectives (SLOs) for platform capabilities.
3) Build and Operate Reliable Data Services
Ensure the design and operation of high-performance pipelines and data services (batch and streaming) for large-scale workloads.
Own production operations for file- and event-based systems including monitoring incident response (on-call leadership) and continuous improvement to meet SLAs/SLOs.
Promote strong engineering practices: testing security observability deployment automation and well-defined interfaces.
4) Drive Quality Governance and Efficiency
Implement and improve processes for data quality lineage access control and governanceensuring trusted auditable data.
Optimize cost and performance through right-sizing workload tuning storage/compute efficiency and operational automation.
Introduce consistent patterns and standards for pipeline development orchestration and platform usage.
5) Collaborate Across the Organization
Partner with Product Engineering Analytics and Data teams (e.g. data reliability engineers software engineers BI/analytics engineers data scientists) to deliver end-to-end data products.
Communicate vision roadmap risks and progress clearly to stakeholders at different levels of technical depth.
Lead cross-team initiatives (build vs. buy evaluations platform migrations major reliability improvements and POCs).
This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. #LI-Remote
Qualifications :
Basic Qualifications:
- 5 years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters MBA JD MD) or 0 years of work experience with a PhD OR 8 years of relevant work experience.
- Be based in Brazil.
Preferred Qualifications:
- Proven experience leading engineering teams (hiring coaching performance management and fostering healthy team dynamics).
- Excellent communication and stakeholder management skills ability to translate business needs into technical priorities.
- Strong software engineering background building distributed systems and data-intensive platforms at scale.
- Solid experience with cloud infrastructure (preferably AWS) and modern platform/hybrid architectures.
- Strong knowledge of streaming and/or event-driven architectures and production-grade data processing.
- Strong SQL skills and experience enabling analytical and operational workloads.
- English proficiency (professional working level - typically B2 or equivalent).
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
Yes
Employment Type :
Full-time
As Manager Data Platform you will lead a team responsible for building evolving and operating Pismos core data platform capabilities (batch and streaming). Your mission is to ensure our data services are reliable scalable secure and cost-efficient enabling internal teams and partners to deliver high...
As Manager Data Platform you will lead a team responsible for building evolving and operating Pismos core data platform capabilities (batch and streaming). Your mission is to ensure our data services are reliable scalable secure and cost-efficient enabling internal teams and partners to deliver high-quality data products at scale.
You will combine people leadership technical direction and cross-functional collaboration to drive platform excellencebalancing roadmap delivery with operational stability quality and continuous improvement.
What You Will Do (Key Responsibilities):
1) Lead and Grow a High-Performing Team
Lead coach and develop a team of data platform engineerssupporting technical growth career progression and performance.
Create a culture of ownership quality and operational excellence (e.g. postmortems SLO discipline and proactive improvements).
Provide timely feedback remove blockers and help the team deliver with high impact and predictability.
2) Own the Data Platform Roadmap & Execution
Define and execute the platform strategy and roadmap aligned with company priorities and partner needs.
Drive platform evolution across architecture tooling and developer experiencereducing complexity and technical debt.
Establish clear goals success metrics and service-level objectives (SLOs) for platform capabilities.
3) Build and Operate Reliable Data Services
Ensure the design and operation of high-performance pipelines and data services (batch and streaming) for large-scale workloads.
Own production operations for file- and event-based systems including monitoring incident response (on-call leadership) and continuous improvement to meet SLAs/SLOs.
Promote strong engineering practices: testing security observability deployment automation and well-defined interfaces.
4) Drive Quality Governance and Efficiency
Implement and improve processes for data quality lineage access control and governanceensuring trusted auditable data.
Optimize cost and performance through right-sizing workload tuning storage/compute efficiency and operational automation.
Introduce consistent patterns and standards for pipeline development orchestration and platform usage.
5) Collaborate Across the Organization
Partner with Product Engineering Analytics and Data teams (e.g. data reliability engineers software engineers BI/analytics engineers data scientists) to deliver end-to-end data products.
Communicate vision roadmap risks and progress clearly to stakeholders at different levels of technical depth.
Lead cross-team initiatives (build vs. buy evaluations platform migrations major reliability improvements and POCs).
This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. #LI-Remote
Qualifications :
Basic Qualifications:
- 5 years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters MBA JD MD) or 0 years of work experience with a PhD OR 8 years of relevant work experience.
- Be based in Brazil.
Preferred Qualifications:
- Proven experience leading engineering teams (hiring coaching performance management and fostering healthy team dynamics).
- Excellent communication and stakeholder management skills ability to translate business needs into technical priorities.
- Strong software engineering background building distributed systems and data-intensive platforms at scale.
- Solid experience with cloud infrastructure (preferably AWS) and modern platform/hybrid architectures.
- Strong knowledge of streaming and/or event-driven architectures and production-grade data processing.
- Strong SQL skills and experience enabling analytical and operational workloads.
- English proficiency (professional working level - typically B2 or equivalent).
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
Yes
Employment Type :
Full-time
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