Lead Cloud Solution Architect- Data Owner

• 8+ years of experience designing and delivering cloud data architecture on one or more major cloud platforms (AWS, Azure, GCP, Databricks, Snowflake, or Microsoft Fabric), giving you the judgment to distinguish a sound technical concept from a flawed one
• Led design and delivery of enterprise scale data platforms in production, with the credibility to earn the trust of engineers and delivery teams
• Has led a pre-sales pursuit end to end: worked with a client on a complex or ambiguous problem to define the solution, developed the LOE, proposal, and SOW, and won the work
• Demonstrated ownership of a data solution or offering, including moving it from idea to sellable and building the technical content needed to support it
• Demonstrated experience transforming and migrating data from legacy and source systems into modern cloud data platforms, including the patterns, tooling, and pitfalls involved
• Ability to read, understand, and help validate reference architectures and delivery playbooks created by others
• Real consulting experience in a consulting or professional services firm, packaging and selling technical offerings to enterprise clients
• Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or equivalent practical experience
• Excellent executive communication skills, equally credible presenting business strategy to leadership and technical rationale to engineers

• Prior experience advising C level executives (CIO, CDO, CTO) on cloud data strategy or data governance
• Relevant certifications across AWS, Azure, GCP, Databricks, or Snowflake
• Familiarity with low/no code data tooling such as Apache NiFi, Informatica, and AWS Glue
• Understanding of why data is essential to AI workloads, including data quality, governance, lineage, and pipeline readiness (hands on experience building AI solutions is not expected)
• Experience partnering with business development or alliance teams on hyperscaler or ISV co investment programs

• The Cloud Data solution area is built out as a defined portfolio with a clear roadmap, positioning, and packaging, and at least one new solution has moved from idea to sellable, revenue generating offering
• Growth in Cloud Data engagements is accelerating: pipeline, win rate, and bookings are measurably ahead of target
• Profitability of data engagements has improved through consistent pricing, SOW/LOE templates, and scope frameworks, with margin tracked and trending up against target
• The Cloud Data solution area and the data delivery team operate as one: a shared roadmap, joint scoping and estimating, reference architectures and delivery playbooks validated against what is sold, and delivery risks caught early
• Sales enablement materials measurably reduce presales cycle time and reduce dependency on this role for individual pursuits
• Partner co investment funding is secured and deployed against enablement or demand generation
• Technical sales support and deal review board involvement have directly influenced at least one marquee win and caught at least one delivery risk early on a strategic engagement

Up to 25% of the time, domestic and international.

Want to learn more about Consulting Services? Check us out on our platform:

https://www.wwt.com/consulting-services 

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $140,000 to $175,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay. 

The well-being of WWT employees is essential. 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: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program
• Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement
• Paid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring
• Additional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program

Note: This is not an all-encompassing list and should not be used as a complete description of the plan’s benefits. For more information, see our US benefits website at wwt.com/us-benefits.

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!

If you require accessibility accommodation(s) or adjustment during any stage of the hiring process, please let your WWT Recruiter know. The recruiter will work with you to understand your needs and help ensure an accessible experience throughout the interview process.

World Wide Technology is an Equal Opportunity Employer.

If you have any questions or concerns about this posting, please email [email protected].

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Why WWT?

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 distributions 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. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

What is the Solutions Consulting & Engineering (SC&E) Team and why join?

Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end and emerging solutions to drive customer satisfaction, increase profitability and growth. Our success is enabled by our world-class management consulting, delivery excellence and engineering brilliance. Our goal is to bring together business acumen with full-stack technical know-how to develop innovative solutions for our clients' most complex challenges.

Position Overview

As Cloud Data Solution Owner, you are the senior data expert and technical authority for WWT's Cloud Data solutions, the platforms, data engineering, and data transformation capability that make client data trusted, governed, and ready to power analytics and AI. You use that depth to lead the solution area, support pre-sales, and give the data delivery team confidence in what WWT sells.

Your primary mandate is solution ownership: building the Cloud Data portfolio, identifying and shaping new offerings that fuel practice growth, and packaging them for the market. You support sales as the technical peer to Solution Architects on strategic pursuits, validate proposed data solutions, and sit on the deal review board for strategic engagements, so that what WWT sells is what the delivery team can build with confidence.

Success in this role requires real, practitioner level depth in cloud data platforms, how data is transformed and migrated into them, and how it is governed and prepared for use, earned by having designed and delivered it. You are an experienced consultant who has led pre-sales pursuits, taking a client from problem to defined solution, LOE, proposal, and SOW. You also understand why data is essential to the success of AI workloads, though hands on experience building AI solutions is not required. You pair this depth with the business judgment to turn it into offerings clients will buy and WWT can deliver at scale.

Key Responsibilities

Solution Development & Practice Growth

• Own the Cloud Data solution portfolio and bring new data offerings to market that fuel practice growth, ahead of and beyond maintaining the existing offering
• Own the Cloud Data offering as a product: roadmap, positioning, and packaging across Databricks, Snowflake, and Microsoft Fabric within AWS, Azure, and GCP
• Ensure offerings reflect the data foundation standards (quality, governance, lineage, and readiness) that enable business analytics and that AI workloads depend on
• Understand and help validate the reference architectures and delivery playbooks used by the data delivery team, so that what is sold matches how it is delivered
• Own pricing strategy, SOW/LOE templates, and scope frameworks that let Solution Architects price and structure engagements consistently
• Drive P&L style accountability for the offering: track adoption, win rates, margin, and growth against target, and adjust the portfolio accordingly
• Partner with Business Development Managers on hyperscaler and ISV co investment programs (AWS, Microsoft, Google Cloud, Databricks, Snowflake), providing the technical and solution input needed to secure funding for enablement, demand generation, and joint pursuits
• Partner with Practice Leadership to prioritize which capabilities to build, retire, or acquire based on client demand and competitive signal
• Collaborate with Cloud Migration, Security, and Infrastructure solution owners to keep the data offering integrated across the broader WWT Cloud portfolio

• Serve as the technical peer to Solution Architects on strategic and complex pursuits: shape the technical approach, architecture pattern, and toolset, and strengthen the proposal before it reaches the client
• Validate data solutions, SOWs, LOEs, and technical proposals for architectural soundness on strategic pursuits before they go to the client
• Sit on the deal review board for strategic accounts and engagements, providing technical and business oversight at key milestones, not day to day delivery management
• Build confidence with the data delivery team by validating that what is sold is deliverable, and identify delivery risk early so you can course correct with delivery leadership before issues reach the client

• Build and maintain the sales enablement toolkit (technical discovery guides, demos, pricing tools) that lets Solution Architects run pursuits independently, packaging reference architectures and delivery assets from the delivery team into sales facing materials
• Train and enable Solution Architects and sellers on the offering so the practice scales without a bottleneck at this role
• Review win/loss patterns across pursuits and feed learnings back into enablement content and packaging
• Support RFP/RFI responses with reusable, prebuilt solution narratives rather than one off authoring

• Data transformation and migration into modern cloud data platforms, including ETL/ELT pipelines, legacy system extraction, and data quality and validation during migration
• Deep understanding of modern data architecture technologies and patterns (data lakehouse, data mesh, data fabric, medallion architecture) on vendor platforms such as Databricks, Snowflake, Microsoft Fabric or other similar cloud solutions, sufficient to evaluate and validate designs
• Streaming and real time architectures: Kafka, Kinesis, Azure Event Hub, Flink
• Data governance, lineage, quality, and cost/FinOps principles as they relate to platform decisions and packaging