Technical Solutions Architect II -- Data Engineer

Work Experience: A minimum of 3 years of relevant technical experience across data engineering and data science, including hands on experience preparing and managing data for data science use cases. Customer facing sales experience is required, gained in a presales, consulting, solutions engineering, reseller, or systems integrator setting. The ideal candidate is a data scientist who has had to prepare and manage their own data, or a data engineer who has worked closely with data scientists and understands their needs.

Specialized Knowledge, Skills, and Abilities:

• Hands on experience with Snowflake and/or Databricks is highly desirable, as most customers we meet use one or both. Exposure to Microsoft Fabric and similar modern data platforms is also relevant.
• Data engineering fundamentals, including data ingestion and integration, ETL and ELT pipeline design, orchestration, batch and streaming processing, SQL, Python, and Apache Spark, data modeling, data quality and observability, and metadata and lineage.
• Working data science experience, including feature engineering, model development and evaluation, and experimentation. A PhD is not required. The requirement is enough depth to hold credible peer conversations with customer data scientists and to understand what they need from data platforms.
• Practical understanding of how AI workloads, including large language models (LLMs), retrieval augmented generation (RAG), and agentic AI, consume enterprise data. The emphasis is on explaining why data readiness determines whether these solutions work, not on building agents for customers.
• Cloud familiarity from a data and AI perspective, including the ability to move and use data from AWS, Azure, or Google Cloud environments in AI initiatives. Deep cloud infrastructure expertise is not required.
• Working knowledge of enterprise data governance, security, and data strategy, and how trusted data enables successful AI initiatives.
• Strong communication skills, with the ability to speak with data engineers, data scientists, architects, developers, IT leadership, and executive stakeholders, tailoring technical depth appropriately while maintaining credibility with every audience.
• Advisory mindset and the ability to lead customers through ambiguous technical challenges, structure discovery conversations, identify gaps, evaluate platform tradeoffs objectively, and deliver actionable recommendations.
• Sales experience and commercial awareness to support account teams effectively in fast moving sales cycles, including working as a guest in accounts owned by others.
• Genuine curiosity and a habit of staying current. The technologies at the center of this role are new, and the right candidate has learned them by using them and is actively exploring how AI is changing the way data work gets done.
• Familiarity with complementary technologies such as dbt, Apache Airflow, Azure Data Factory, Kafka, or comparable orchestration and integration platforms.
• Familiarity with enterprise AI platforms such as Azure AI, AWS SageMaker, Google Vertex AI, Databricks Mosaic AI, Snowflake Cortex, NVIDIA NIM, or similar technologies.
• Experience using AI tools and coding assistants, such as Claude, Glean, Copilot, and CoCo, with cloud and on premises data platforms.
• Experience presenting technical recommendations to customers and executive leadership.
• A passion for helping customers solve complex business problems through trusted data foundations and practical AI.

Working conditions (if needed)

This is a remote position located within the US, with hours being primarily based on business hours in US time zones. Due to the pace of AI and Data technology adoption, this will be a fast paced position, juggling multiple active engagements.

The role demands a high degree of autonomy, requiring the candidate to independently manage tasks and responsibilities. The ability to self motivate and drive initiatives forward in a remote setting is critical. Ideal candidates should be capable of working independently while maintaining close virtual collaboration with the team and stakeholders.

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

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

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 $150,000.00 to $180,000.00 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.

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