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Presales Data Architect – AWS - Sydney (Onsite)

New South Wales, Australia (On-site)

Presales Data Architect – AWS - Sydney (Onsite)

7 Hours ago • 5-7 Years • DevOps

About the job

Summary_{By Outscal}

6 skills required for this role

Boost these skills to join the top 1% applicants for this job

Must have:

5+ years Data Architect experience
AWS Data platform expertise
Advanced SQL skills
Strong Spark, SQL, Data Modeling
Data lakehouse concepts
Experience migrating data warehouses to AWS

Good to have:

AWS Certifications
Experience with Redshift, RDS, S3, Glue

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Presales Data Architect–AWS

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 AWS.  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 AWS 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.

Successful candidates will be adept at evangelizing the Rackspace Data Services value proposition – across Professional Services and Managed Services; aligning it to each unique set of customer challenges and articulating the business benefits that can be delivered.

A key aspect of the role is to engage with customers early in their transformation journey toestablish 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.
Administrative Overhead – Respond to email, phone calls, complete timesheets in a timely manner, expense reports and status reports as required Administrative Overhead.
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 AWS Data platform experience and 5+ years of experience as a Data Architect with a proven track recordand 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 AWS data stores such as Redshift, RDS, S3, Glue Data Catalog, Python, Lake formation, etc
Proven experience in migrating data warehouses from SQL Server, Oracle, Teradata and Informatica to AWS.
AWS Certification: Data Analytics Specialty, Solution Architect Professional

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