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Base pay range

$140,000.00/yr - $180,000.00/yr

Great collaborative company that is focused on utilizing and investing in the latest and greatest technology!

Job details:

My client is growing and looking for a Cloud Data & Analytics Architect primarily focused on Microsoft Azure, who enjoys speaking with the business and stakeholders to deliver high level solutions.

Responsibilities

1. Interact with customers, company sponsors and delivery teams (including partners) focused on solving mission-critical business and technology problems and provide solutions that center on the Microsoft Azure Platform.
2. Execute technical feasibility assessments, solution estimations, and proposal development for data & analytics solutions.
3. Develop functional and technical designs for the targeted solutions in Azure.
4. Develop a migration approach to move workloads from on-premises to Azure or develop new cloud-ready solutions.
5. Lead and mentor medium to large sized teams in the migration workloads or implementations of cloud data & analytics solutions in large enterprise environments.
6. Document and share technical best practices and insights with the Customer and company community, contributing to the organization's repository of intellectual property.
7. Strategize, plan, and execute business development related to data & analytics opportunities.
8. Engage with internal technology leaders and solutions experts to deliver cutting edge solutions to clients.
9. Expand organization portfolio of solutions and professional services in the local geography.
10. Maintain and grow client relationships.
11. Induce solutions and ideas to help clients improve their business performance.
12. Work in an entrepreneurial environment with a high level of senior management access.

Minimum Qualifications

1. Broad knowledge of the Microsoft Azure cloud platform and ability to architect, design and implement data & analytics solutions on Azure.
2. Cloud data warehouses (Azure Synapse, Snowflake) experience.
3. Cloud data lakes (Azure Data Lake Storage, Azure Blob Storage, Snowflake) experience.
4. Cloud data integration/processing (Azure Data Factory, Azure Databricks, Spark) experience.
5. Understanding of data science tools, solutions, model lifecycles, etc. to support the operationalization of machine learning and analytics models.
6. Understanding of cloud computing technologies, business drivers, and emerging computing trends.
7. Oversight experience on transformational projects and successful transitions to implementation support teams.
8. Proven track record of building deep technical relationships with senior executives and growing cloud consumption share in large or highly strategic accounts.
9. Full lifecycle experience implementing data & analytics solutions with a working knowledge of agile development, SCRUM, and DevOps.
10. Project experience in migrating On-Premise workloads to the cloud and/or implementing cloud-ready applications.
11. Experience with On-Premise to Azure Cloud Migrations, including familiarity with Data Replication technologies.
12. Experience in full data pipeline technologies, including Azure Data Factory, Data Bricks, Azure Blob Storage, Synapse and other related tools.
13. Azure DevOps tools and best practices for environment management.
14. Hybrid data architectures, including on-premise, cloud and related components including data lakes, data warehouse & analytic workspaces.
15. Virtualization, Networking, Storage, Security configuration and management in the cloud.
16. Proven track record of building trusted technical and business relationships with senior executives and driving growth in highly strategic or key accounts.
17. Proven track record of driving decisions collaboratively, resolving conflicts and ensuring follow through.
18. Strong problem-solving and analytical skills leveraging all available resources.
19. Ability to connect technology with measurable business value.
20. Demonstrated technical thought leadership in customer-facing situations.
21. Exceptional verbal and written communication.
22. Presentation skills with a high degree of comfort with both large and small audiences.

Minimum Education Qualification

Bachelor's Degree in Computer Science, Computer Engineering, MIS or related field.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Engineering and Information Technology

Industries

Software Development, Technology, Information and Internet, and Technology, Information and Media