The Information Consumption team enables end-users and applications to access curated data through cloud-based platforms including secure data cleanrooms query engines BI tools notebooks and federated data services. The team plays a critical role in modernizing legacy data consumption capabilities and migrating them to scalable resilient cloud architectures that support enterprise analytics and decision-making.
As the Manager Information Consumption (Cloud Migration) you will lead a team of engineers responsible for designing migrating and operating cloud-native data consumption solutions. You will partner closely with product analytics infrastructure and cloud platform teams to transition onpremise and hybrid data access patterns to the cloud while ensuring performance security and governance at scale.
Key Responsibilities:
- Drive the roadmap for cloud-based data consumption platforms aligned with enterprise cloud and data modernization strategies.
- Lead cloud migration initiatives for data access BI and analytics workloads including legacy platform decomposition replatforming and optimization.
- Define and implement cloud-native patterns for federated data access query optimization secure data sharing and cross-cloud or hybrid connectivity.
- Partner with cloud infrastructure and security teams to ensure solutions meet data privacy governance and regulatory requirements in the cloud.
- Collaborate with stakeholders across Data Infrastructure Product Analytics and BI to enable seamless adoption of migrated platforms.
- Drive automation monitoring and observability for cloud BI and data consumption services including reliability cost management and performance tuning.
- Establish best practices for cloud operations including CI/CD infrastructure-as-code and operational readiness for migrated workloads.
- Mentor and develop engineers as they build cloud engineering and migration expertise.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Basic Qualifications:
- 5 or more 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
Preferred Qualifications:
- 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters MBA JD MD) or up to 3 years of relevant experience with a PhD
- Bachelors or masters in computer science Data Engineering or related field.
- 6 years in data engineering with 3 years in leadership roles.
- Expertise in distributed data systems SQL Python.
- Experience with Cloud BI Platforms Tableau PowerBi Looker Databricks dbt.
- Experience working to uplift and mature BI product capabilities policies definition controls and frameworks
- Excellent problem-solving skills with track record in synthesizing complex information to produce impactful management information and support informed decision making.
- Strong interpersonal skills with ability to develop and sustain relationships across levels and role types influences and collaborates with all levels functions and geographies
- Superior communication and problem-solving skills with a passion to get things done learn and inspire peers and business partners to uplift skills and capabilities leadership and communication skills.
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.
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.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for this position is 146200.00 to 233700.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge skills experience and addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.
Remote Work :
No
Employment Type :
Full-time
The Information Consumption team enables end-users and applications to access curated data through cloud-based platforms including secure data cleanrooms query engines BI tools notebooks and federated data services. The team plays a critical role in modernizing legacy data consumption capabilities a...
The Information Consumption team enables end-users and applications to access curated data through cloud-based platforms including secure data cleanrooms query engines BI tools notebooks and federated data services. The team plays a critical role in modernizing legacy data consumption capabilities and migrating them to scalable resilient cloud architectures that support enterprise analytics and decision-making.
As the Manager Information Consumption (Cloud Migration) you will lead a team of engineers responsible for designing migrating and operating cloud-native data consumption solutions. You will partner closely with product analytics infrastructure and cloud platform teams to transition onpremise and hybrid data access patterns to the cloud while ensuring performance security and governance at scale.
Key Responsibilities:
- Drive the roadmap for cloud-based data consumption platforms aligned with enterprise cloud and data modernization strategies.
- Lead cloud migration initiatives for data access BI and analytics workloads including legacy platform decomposition replatforming and optimization.
- Define and implement cloud-native patterns for federated data access query optimization secure data sharing and cross-cloud or hybrid connectivity.
- Partner with cloud infrastructure and security teams to ensure solutions meet data privacy governance and regulatory requirements in the cloud.
- Collaborate with stakeholders across Data Infrastructure Product Analytics and BI to enable seamless adoption of migrated platforms.
- Drive automation monitoring and observability for cloud BI and data consumption services including reliability cost management and performance tuning.
- Establish best practices for cloud operations including CI/CD infrastructure-as-code and operational readiness for migrated workloads.
- Mentor and develop engineers as they build cloud engineering and migration expertise.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Basic Qualifications:
- 5 or more 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
Preferred Qualifications:
- 6 or more years of work experience with a Bachelors Degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters MBA JD MD) or up to 3 years of relevant experience with a PhD
- Bachelors or masters in computer science Data Engineering or related field.
- 6 years in data engineering with 3 years in leadership roles.
- Expertise in distributed data systems SQL Python.
- Experience with Cloud BI Platforms Tableau PowerBi Looker Databricks dbt.
- Experience working to uplift and mature BI product capabilities policies definition controls and frameworks
- Excellent problem-solving skills with track record in synthesizing complex information to produce impactful management information and support informed decision making.
- Strong interpersonal skills with ability to develop and sustain relationships across levels and role types influences and collaborates with all levels functions and geographies
- Superior communication and problem-solving skills with a passion to get things done learn and inspire peers and business partners to uplift skills and capabilities leadership and communication skills.
Additional Information :
Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk communicate in person and by telephone frequently operate standard office equipment such as telephones and computers.
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.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for this position is 146200.00 to 233700.00 USD per year which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge skills experience and addition this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical Dental Vision 401 (k) FSA/HSA Life Insurance Paid Time Off and Wellness Program.
Remote Work :
No
Employment Type :
Full-time
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