Require Solution Architect- Data Engineering Any Cloud must have Databricks in San Francisco, CA

Job title: Solution Architect- Data Engineering Any Cloud must have Databricks
Company: Capgemini
Job description: About the job

As a Solution Architect - Data Engineering, you will work for an American multinational technology company focusing on various technological domains such as artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics.

The job requires expertise in Databricks, a cloud-based data engineering

Key responsibilities:

• Provide technical leadership in a post-sales capacity to guide strategic customers as they design and implement big data projects, ranging from architectural design to data engineering to model deployment.
• Identify and drive new initiatives that enable customers to turn their data into actionable business value and align these initiatives with their business outcomes for continued success.
• Architect production-level workloads, including end-to-end pipeline load performance testing and optimization.
• Deliver tutorials and training to drive community adoption (including hackathons, conference presentations, etc.)
• Work closely with Engineering and Product Management to drive the direction of the Databricks product.
• Contribute to Databricks SME community.

Required Skills

• Hands-on and technical expertise with Apache Spark
• Proven experience of design and implementation experience in big data technologies including Hadoop, NoSQL, MPP, OLTP, OLAP
• 5+ years? Experience working as either: Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark and/or other big data solutions.
• Comfortable programming in Python, Scala or Java
• Experience using and designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP
• Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces. E.g. Jenkins.
• Excellent communication skills and comfortable presenting to strategic stakeholders/leadership.
• Experience in customer-facing pre-sales, post-sales, technical architecture guidance, or consulting.
• Passionate about learning new technologies and making customers successful
• Data Science/ML Engineer experience model selection, model lifecycle, hyper-parameter tuning, model serving, deep learning, using tools like MLFlow desired.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs.
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays.
• Paid parental leave.
• Family-building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized backup child/elder care and tutoring
• Mentoring, coaching, and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of ?22 billion.

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Disclaimer

Capgemini 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.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant

Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
Expected salary:
Location: San Francisco, CA

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