We are seeking a Cloud Data & Analytics Architect primarily focused on Microsoft Azure.
Smartbridge is a full-service consulting firm that simplifies business transformation for enterprise businesses.
POSITION ACCOUNTABILITIES
Below is a list of skills/attributes that a Cloud Data Architect should possess at all levels but with increasing competency levels as they attain higher levels and titles.
● Interact with customers and 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
● Execute technical feasibility assessments, solution estimations, and proposal development for data & analytics solutions
● Develop functional and technical designs for the targeted solutions in Azure
● Develop a migration approach to move workloads from on-premises to Azure or develop new cloud-ready solutions
● Lead and mentor medium to large-sized teams in the migration workloads or implementations of cloud data & analytics solutions in large enterprise environments
● Document and share technical best practices and insights with the Customer and our community, contributing to Our repository of intellectual property
● Strategize, plan, and execute business development related to data & analytics opportunities
● Engage with Our technology leaders and solutions experts to deliver cutting-edge solutions to clients.
● Expand our portfolio of solutions and professional services in the local geography.
● Maintain and grow client relationships.
● Induce solutions and ideas to help clients improve their business performance.
● Work in an entrepreneurial environment with a high level of senior management access.
POSITION SKILLS & REQUIREMENTS
● Broad knowledge of the Microsoft Azure cloud platform and ability to architect, design, and implement data & analytics solutions on Azure
● Cloud data warehouses (Azure Synapse, Snowflake) experience
● Cloud data lakes (Azure Data Lake Storage, Azure Blob Storage, Snowflake) experience
● Cloud data integration/processing (Azure Data Factory, Azure Databricks, Spark) experience
● Understanding of data science tools, solutions, model lifecycles, etc. to support the operationalization of machine learning and analytics models
● Understanding of cloud computing technologies, business drivers, and emerging computing trends
● Oversight experience on transformational projects and successful transitions to implementation support teams
● Proven track record of building deep technical relationships with senior executives and growing cloud consumption share in large or highly strategic accounts
● Full lifecycle experience implementing data & analytics solutions with a working knowledge of agile development, SCRUM, and DevOps.
● Project experience in migrating On-Premise workloads to the cloud and/or implementing cloud-ready applications
● Experience with On-Premise to Azure Cloud Migrations, including familiarity with Data Replication technologies
● Experience in full data pipeline technologies, including Azure Data Factory, Data Bricks, Azure Blob Storage, Synapse, and other related tools
● Azure DevOps tools and best practices for environment management
● Hybrid data architectures, including on-premise, cloud, and related components, including data lakes, data warehouses & analytic workspaces
● Virtualization, Networking, Storage, Security configuration, and management in the cloud
● Proven track record of building trusted technical and business relationships with senior executives and driving growth in highly strategic or key accounts
● Proven track record of driving decisions collaboratively, resolving conflicts, and ensuring follow through
● Strong problem-solving and analytical skills leveraging all available resources
● Ability to connect technology with measurable business value
● Demonstrated technical thought leadership in customer-facing situations
● Exceptional verbal and written communication
● Presentation skills with a high degree of comfort with both large and small audiences
