Hiring: Technical Solutions Architect II -- Data Engineer Company: World Wide Technology Location: Maryland Heights, MO Job Posted Time: 2026-09-16 17:34:11 Employment Type: Full-time Target Skills & Keywords : AWS, Accessibility, Airflow, Azure, BigQuery, CI/CD, Databricks, Delta Lake, ELT, ETL, Foundry, GCP, Infrastructure as Code, Kafka, LLM, Nim, Python, RAG, Redshift, SQL, SageMaker, Snowflake, Vertex AI, dbt About the job Experience: •10+ years of experience designing, building, and optimizing 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. Required Skills: •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 optimizing 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. This includes platform capabilities such as Snowflake's Snowpark, Dynamic Tables, Streams & Tasks, and Snowflake Cortex, as well as Databricks components such as Lakeflow (Connect, Pipelines, and Jobs), Delta Lake, and Unity Catalog. •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. Qualifications: •CI/CD, DevOps, and Infrastructure as Code practices for data platforms. •Metadata management, lineage tooling, and data observability/monitoring experience. •Operational familiarity with dbt, Apache Airflow, Azure Data Factory, Kafka, Event Hubs, or comparable orchestration/integration tools. •Operational familiarity with enterprise AI platforms — Azure AI, AWS SageMaker, Google Vertex AI, Databricks Mosaic AI, NVIDIA NIM, or similar. •A passion for helping customers solve complex business problems through modern data engineering and trusted data foundations. •Bachelor’s degree in computer science, data engineering, or a related field, or equivalent experience. •Active Databricks and/or Snowflake certification(s) highly preferred. •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 Compensation: •$150,000 - $180,000 / year •Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!