Technical Solutions Architect II Data Engineer

Position: Technical Solutions Architect II -- Data Engineer
Job Description

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.

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, since customers routinely expect both in the same conversation. Governance fluency: able to represent data quality, security, and trust topics credibly in customer conversations, while governance strategy and roadmap ownership sit with a dedicated specialist role.

Practical understanding of how AI workloads — LLMs, RAG, agentic AI — consume enterprise data. The emphasis is on engineering trusted, scalable data foundations, not building AI models. Experience integrating and using AI coding assistants and agent tools (e.g., Claude, Copilot, Glean, Snowflake Cortex Code) 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: structuring discovery engagements, identifying technical and organizational gaps, evaluating platform tradeoffs objectively, and delivering actionable recommendations. Experience supporting a services sales motion in a non-quota-carrying, technical advisory capacity — partnering with account teams to shape and advance service engagements. Strong communication skills across audiences — data engineers, architects, IT leadership, and executive stakeholders — tailoring technical depth while maintaining credibility with each.

Experience with scoping and/or delivering large-scale data platform migrations. Preferred:

Experience with additional cloud data platforms such as Google Big Query, AWS Redshift, or Azure Synapse. CI/CD, Dev Ops, and Infrastructure as Code practices for data platforms. Metadata management, lineage tooling, and data observability/monitoring experience. Familiarity with dbt, Apache Airflow, Azure Data Factory, Kafka, Event Hubs, or comparable orchestration/integration tools. Familiarity with enterprise AI platforms — Azure AI, AWS Sage Maker, 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.

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.  Should you have the relevant skillset and are keen on this position, please email me your updated CVWWT offers a challenging and rewarding position in a growing and truly international environment, a competitive salary, bonus opportunities, and benefits

Equal opportunities:

We strive to create an environment where all employees are empowered to succeed based on their skill, 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!#LI-ND2

Job Requirements World Wide Technology Technical Solutions Architect (Data Engineerning) London Why WWT?

World Wide Technology (WWT)…