Technical Solutions Architect II - Data Engineer in Sydney

World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe. Founded in 1990, WWT brings together strategy, deep technical expertise and world-class partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions.

Through its Advanced Technology Center (ATC) - a collaborative ecosystem featuring state-of-the-art hardware and software - WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distribution capabilities. With more than 14,000 team members and over 60 locations globally, WWT's culture - grounded in core values and leadership philosophies - has been recognized by Fortune® and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all.

What will you be doing? The AI & Data Solutions team operates as a pre-sales advisory practice within WWT's GS&A organization, helping organizations move from AI interest to AI impact. This role is grounded in data engineering, with ideal candidates bringing deep hands-on data platform expertise into customer conversations and translating that technical depth into business clarity and confident decision-making. This role makes the engineering path from data foundation to AI impact concrete and actionable for customers. The role will partner with account teams across the full sales cycle, converting that clarity into services opportunities for WWT.

Responsibilities:

• Pre-Sales Engagement: Independently lead pre-sales enterprise customer engagements, including workshops, discovery sessions, architecture reviews, and executive briefings, focusing on data readiness for AI and the practical path from data foundation to AI value.
• Opportunity Support: Advance opportunities across the AI Studio, AI Foundry, and AI Factory offerings, with particular emphasis on data strategy, data engineering maturity, and AI-ready data architecture.
• Business Translation: Translate complex technical concepts into language that resonates with business and executive stakeholders by connecting technology directly to outcomes.
• Thought Leadership: Author and contribute technical content such as whitepapers, workshop curriculum and internal enablement that document field-tested approaches for AI-ready data.
• Partner Ecosystem Engagement: Engage with WWT's AI Proving Ground and partner ecosystems, particularly Databricks and Snowflake, and similar technologies to develop insights, validate approaches, and support field enablement.

Work Experience:

• 10+ years of experience designing, building, and optimising scalable data platforms, with strength in Snowflake, Databricks and modern Lakehouse architecture.
• Prior experience in a pre-sales, consulting, solutions engineering, or technical advisory capacity within an enterprise technology organization is preferred.
• Deep hands-on experience with modern cloud data platforms, particularly Snowflake and Databricks.
• Strong data engineering fundamentals: ETL/ELT pipeline design and implementation, data orchestration and workflow automation, batch and streaming processing, and data modeling for analytical and operational workloads.
• Proficiency in SQL and Python sufficient to write, debug, and review production-quality code independently.
• Working fluency in lakehouse and data platform architecture — able to reason through platform tradeoffs and answer architecture-level questions in real time alongside engineering questions.
• Governance fluency: able to represent data quality, security, and trust topics credibly in customer conversations.
• Practical understanding of how AI workloads consume enterprise data.
• Experience integrating and using AI coding assistants and agent tools with cloud data platforms.
• Experience implementing Databricks and Snowflake solutions on Azure, AWS, or Google Cloud.
• Advisory mindset and the ability to lead customers through ambiguous technical challenges.
• Experience supporting a services sales motion in a non-quota-carrying, technical advisory capacity.
• Strong communication skills across audiences — data engineers, architects, IT leadership, and executive stakeholders.
• Experience with scoping and/or delivering large-scale data platform migrations.

Preferred:

• Experience with additional cloud data platforms such as Google BigQuery, AWS Redshift, or Azure Synapse.
• CI/CD, DevOps, and Infrastructure as Code practices for data platforms.
• Metadata management, lineage tooling, and data observability/monitoring experience.
• Familiarity with orchestration/integration tools.
• A passion for helping customers solve complex business problems through modern data engineering and trusted data foundations.

Education:

• Bachelor's degree in computer science, data engineering, or related field, or equivalent experience.

Certifications:

• Active Databricks and/or Snowflake certification(s) highly preferred.

The well-being of WWT employees is essential. So, when it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:

Health and Wellbeing:

• Combined Health Insurance, Employee Assistance Program, Wellness program.

Financial Benefits:

• Competitive pay, Profit Sharing, Life and Disability Insurance, Tuition Reimbursement.

We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT remains a great place to work for all!