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TechnicalProject Manager - DataOps

FTE w/Benefits

West coast region - WA Preferred with PST hours

PrimaryFunction:

As the Technical Project Manager - DataOps at Capgemini you will be accountable for leading the DataOps domain in Insights and Data Team. Your primary responsibilities will be to coach and mentor your domain in agile/scrum practices, incident management life cycle, and other Capgemini norms. Your domain team will be responsible for supporting data pipelines, incident management, and infrastructure for the Data & Analytics Platform.

For you and the DataOps team to be successful you will need to:

• Drive agile/scrum practices, incident resolution, problem management and Capgemini norms within your domain

• Collaborate closely with stakeholders to ensure smooth transition from build to support

• wn the team's backlog, incident management life cycle, data pipeline monitoring strategy, infrastructure upgrade, user access/authorization requests to the Data platform

• Identify more efficient operational practices and tools

Your day-to-day activities will include leading, delegating, and participating in:

• Cadence meetings, backlog grooming, retrospectives, and iteration management

• Pairing and collaboration sessions with team members

• Monitoring creation, alert tuning, and incident resolution

• Collaborating with stakeholders to perform scheduled maintenance and upgrades

• Cross functional team troubleshooting and issue resolution

Duties andResponsibilities:

• Accountable for maximizing the deliverable value of the DataOps team

• Mentoring and coaching team members to help them self-organize, remove impediments, incident management, and agile/scrum practices

• Coordinate Incident management, communication, and resolution with the team members and stakeholders

• Lead infrastructure, security, and other technology upgrades projects from start to finish

• Collaborate with enterprise teams to ensure Data & Analytics Platform is in compliance with internal and external regulations and policy

• Collaborate with engineering teams to automate code analysis, testing, building, and deployment

• Collaborate with stakeholders to prioritize the backlog against the company, department, and team initiatives into the current and future iterations

• Promote a culture of high-performance by balancing innovation and operational excellence

• Be a champion for organizational change management

Desired Skills/ Experience:

• Experiencein Technical Program Management roles

• Expertpeople skills - must be able to form strong, meaningful, and lastingcollaborative relationships

• Expertexperience with collaborating with domain and scrum teams

• Expertexperience with incident management frameworks with preference towardsITIL

• Hands onexperience working with large complex enterprise accounts supporting cloudsolutions for data estate workloads (DW/ETL/BI projects preferred).

• Expert experiencewith managing cloud-based infrastructure including Azure Data services

• Expertexperience with troubleshooting complex issues in cloud environments

• Strongexperience with RDBMS, No-SQL DBs, data modeling, Python, SQL, and ETL/ELTprocesses

• Strong experiencewith building, deploying, and maintaining data pipelines

• Strongexperience with leading operation teams that support online systems

• Strongexperience with cloud infrastructure services with preference forexperience with Azure Cloud Platform

• Experiencewith most of the following technologies: Azure Synapse, Azure SQLDatabases, Azure DevOps, Git, Azure ML Services, yml, Azure CLI, AzureData Factory, and Spark

Email resume to me at: Harneet.Sapra@sogeti.com

Minimum educationqualification: Bachelor-s degree

The benefits our employeesenjoy:

• Competitive Salary

• 401(k) Savings Plan- Matched 150% up to 6%.

• Medical benefits

• $12,000 in Tuition Reimbursement

• 100% Company-paid mobile phone plan

• Personal Time Off (PTO) and paid Holidays

Sogeti is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.