AI & Data Architecture Specialist Master

Position Summary

AI & Data Architecture Specialist Master

Analytics Architect Responsible for working with various business and technology teams to deploy cloud-based data platforms. Develop a strategy to determining the solution's architecture, evaluating cloud products and making key recommendations for the cloud platform. Monitor the cloud platform post-implementation to ensure the platform is meeting all defined metrics (performance, reliability, etc.).

The Team

AI & Data Engineering

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The AI & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

AI & Data Engineering will work with our clients to:

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• Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
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• Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
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• Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
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Qualifications

Required:

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• 6 years experience with relevant technology consulting experience to include, enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management
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• 2 years experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Service (AWS) and/or Google Cloud Platform (GCP)
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• 2 years experience with large-scale application portfolios in enterprise-wide environments (including migration of on-premise workloads to the cloud)
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• Bachelor's Degree
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• Experience architecting, designing, developing and deploying enterprise solutions, based on client or business vision, which include components across the AI and Data Engineering spectrum such as Advanced Analytics, Machine Learning and Data Science
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• Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
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• Limited immigration sponsorship may be available.
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Preferred:

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• Architecting solutions implementing Databricks and Snowflake
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• Spark, Storm or related paradigms and associated languages such as Python, Scala, Java/C , R etc.
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• Experienced programming knowledge in both SAS and SQL, Operating system experience with UNIX and relational database knowledge such as ORACLE/TERADAT SAS/Base, SAS/Stat, SAS/Macro preferred
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• Understanding of the security aspects of cloud architecture
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• Experience in all aspects of data governance and data engineering
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• Ability to orchestrate, lead, and influence virtual teams, ensuring successful implementation of customer projects
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• Presentation skills with a high degree of comfort with both large and small audiences
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• Demonstrated experience driving both the sales cycle by taking the lead in framing out client opportunities and leading the pursuit team to create the proposal content for client discussions
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• Strong problem solving and troubleshooting skills with the ability to exercise mature judgment
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• Demonstrated experience with management and delivery of multiple strategic engagements for large global organization
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AI&DE23

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Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

Our people and culture

Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.

Our purpose

Deloitte's purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact.

Professional development

From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.

As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Deloitte will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws. See notices of various ban-the-box laws where available.

Requisition code: 104577