Presales Data Architect

**Presales Data Architect - Azure**
- In this role you will be helping to grow the Rackspace Cloud data practice. You will be the expert in the region and support the sales of our data projects on Azure. Our Presales Data Architects are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with our sales team to propose solutions to customers to achieve business outcomes using Google Cloud.

This is a solutions pre-sales role that places significant emphasis on consultative engagements with a wide range of customer stakeholders, Business Owners, Business Analytics, Data Engineering teams, Application Development, End Users and Management teams.
- A key aspect of the role is to engage with customers early in their transformation journey to establish Rackspace credentials as a partner that can help assess, plan and execute the required data transformation or modernization.
- You Will:

- Data Architect is client facing, pre-sales technologist that works with designated accounts and acts as a technical advocate for Rackspace clients.
- You are responsible for understanding clients’ business requirements as they pertain to Data solutions, qualifying opportunities and creating designs that match the requirements with appropriate products, managed and professional services.
- Is considered a thought leader and develops IP & collateral for data and analytics.
- Sells and positions implementation and advisory services primarily in their assigned LOB, but also understands and advises clients on where other strategic and advisory services fit their needs.
- Client Facing Sales Support - Works with sales account team, interfacing directly with the Rackspace prospects and customers.
- Builds trusted advisor relationships, understanding client’s business challenges and proposing solutions.
- Develops High Level Designs and Architectures - Creates and documents architectures that address client business problems which can be used to ensure a smooth transition from presales to delivery.
- Create Proposals - Develop proposals, SOWs (Statements Of Work), business cases and RFP responses,
- Sales Planning - Work with management and sales teams to develop account prioritization and support strategies that will ensure a long-term trusted relationship status.
- Partner Relationship Management - Develop healthy and trusted relationships with key partners in the geography.
- Intellectual Property Development - Contribute to the development of Rackspace intellectual property and industry recognition (white papers, speaking engagements etc.
- Training - Develop and execute a professional plan that will enhance skills.
- Contribute to sales process improvement, including developing knowledge bases, creating sales tools, and mentoring other Solutions Architects
- Technical Requirements:

- 2+ years of Azure Data platform experience and 5+ years of experience as a Data Architect with a proven track record and experience leading engagements from design to implementation of data analytics solutions.
- Advanced SQL skills, including the ability to write, tune, and interpret SQL queries; tool specific experience in the RDBMS listed above is ideal.
- Strong Spark, SQL, Data Modeling, Data lakehouse concepts.
- Design and optimize data models on AWS Cloud using Azure data stores such as Synapse, Azure SQL, ADLS Gen2, Purview, Python, Fabric, etc
- Proven experience in migrating data warehouses from SQL Server, Oracle, Teradata and Informatica to Azure.
- Azure Data Certifications
- Other Requirements:

- Highly motivated self-starter and team player and demonstrated success in prior roles.
- Track record of success working through technical challenges within enterprise organizations
- Ability to prioritize deals, training, and initiatives through highly effective time management
- Excellent problem solving, analytical, presentation, and whiteboarding skills
- Track record of success dealing with ambiguity (internal and external) and working collaboratively with other departments and organizations to solve challenging problems
- Strong knowledge of technology and industry trends that affect data analytics decisions for enterprise organizations

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