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Data Architect

Salary undisclosed

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What you will be doing
1. Lead our rapidly growing Data & AI practice
2. Hire, train and develop highly differentiated and diverse team of Data & AI experts
3. Work directly with end customers and lead enterprise scale Data & AI projects
4. Be the trusted behind-the-scenes SME who works to ensure success and delivery excellence across many engagements
5. Function as a force multiplier by enabling our customers with reusable tools and packaged solutions
6. Provide thought leadership in the areas of data engineering, data governance, data transformations, curation and data integration
7. Develop data architecture blueprints, patterns and frameworks that will enable reuse and standardization
8. Grow your practice by influencing sales deals and assist with scoping, solutioning and estimating effort
9. Lead efforts to develop reusable frameworks, accelerators and internal product development

The skills you will bring
1. Working knowledge of three common cloud ecosystems (AWS, Azure, Google Cloud Platform) with expertise in at least one. With Strong abilities to provide a firm point of view on core cloud platform capabilities, security, and best practices
2. Capable of designing and deploying highly performant end-to-end data architectures
3. Strong integration & automation implementation skills
4. Proven experience building reusable frameworks and packaged solutions for horizontal solutions (e.g. migrations, MLOps, observability)
5. Ability to identify, debug bottlenecks and significantly optimize slow running data pipelines
6. Experience migrating applications from legacy Hadoop or Data Warehouses to the cloud

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

What you will be doing
1. Lead our rapidly growing Data & AI practice
2. Hire, train and develop highly differentiated and diverse team of Data & AI experts
3. Work directly with end customers and lead enterprise scale Data & AI projects
4. Be the trusted behind-the-scenes SME who works to ensure success and delivery excellence across many engagements
5. Function as a force multiplier by enabling our customers with reusable tools and packaged solutions
6. Provide thought leadership in the areas of data engineering, data governance, data transformations, curation and data integration
7. Develop data architecture blueprints, patterns and frameworks that will enable reuse and standardization
8. Grow your practice by influencing sales deals and assist with scoping, solutioning and estimating effort
9. Lead efforts to develop reusable frameworks, accelerators and internal product development

The skills you will bring
1. Working knowledge of three common cloud ecosystems (AWS, Azure, Google Cloud Platform) with expertise in at least one. With Strong abilities to provide a firm point of view on core cloud platform capabilities, security, and best practices
2. Capable of designing and deploying highly performant end-to-end data architectures
3. Strong integration & automation implementation skills
4. Proven experience building reusable frameworks and packaged solutions for horizontal solutions (e.g. migrations, MLOps, observability)
5. Ability to identify, debug bottlenecks and significantly optimize slow running data pipelines
6. Experience migrating applications from legacy Hadoop or Data Warehouses to the cloud

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job