Data AS Consultant at SimilarWeb

<p>This role requires a strong blend of <strong>technical expertise, customer-facing acumen, and solution-oriented problem solving</strong>. The Data AS Consultant will work closely with <strong>Sales &amp; Account Managers</strong> to provide <strong>technical leadership and solution design</strong> for highly consultative enterprise projects. It is a <strong>revenue-generating pre-sales</strong> position focused on enabling technical adoption and driving customer success for both <strong>new and expansion opportunities</strong>.</p> <p>This role reports directly to the <strong>Team Manager, DSI</strong>, with a dotted line to the <strong>Regional Head of Japan</strong>.</p> <h3><strong>Responsibilities</strong></h3> <h4><strong>Technical Consultation &amp; Solution Design</strong></h4> <ul> <li>Serve as a <strong>trusted technical advisor</strong> to enterprise customers, translating business goals into scalable, production-grade technical architectures.<br><br></li> <li><strong>Design and document data integration architectures</strong> leveraging Similarweb’s APIs, DaaS feeds, and platform products to meet enterprise data requirements.<br><br></li> <li>Architect <strong>end-to-end data delivery pipelines</strong> into client ecosystems (e.g., <strong>Snowflake, Databricks, S3, or Google Cloud Platform</strong>).<br><br></li> <li>Provide <strong>technical workshops and POCs</strong>, guiding clients on ingestion, normalization, and querying best practices.<br><br></li> <li>Develop <strong>Statements of Work (SOWs)</strong>, technical proposals, and detailed integration documentation to accelerate collaboration between internal teams and customers.<br><br></li> </ul> <h3><strong>Technical Skill Execution Examples</strong></h3> <ol> <li><strong>Integration &amp; Data Delivery</strong><strong><br><br></strong></li> <ul> <li><strong>Role:</strong> Design and implement integration workflows delivering Similarweb’s data via <strong>API, S3, Snowflake, or GCP Storage</strong>, tailored to customer infrastructure.<br><br></li> <li><strong>Technical Skills:</strong><strong><br><br></strong></li> <ul> <li>Advanced SQL querying and performance tuning in <strong>Databricks / Snowflake</strong><strong><br><br></strong></li> <li>Proficiency with <strong>data file formats</strong> (CSV, JSON, Parquet, Delta) and understanding the <strong>trade-offs between performance, compression, and schema evolution</strong><strong><br><br></strong></li> <li>Strong knowledge of <strong>ETL design, data governance, and access control</strong><strong><br><br></strong></li> </ul> <li><strong>Outcome:</strong> Clients understand technical feasibility and best practices for incorporating Similarweb data into their analytical stack.<br><br></li> </ul> <li><strong>Data Quality, Coverage, and Scalability</strong><strong><br><br></strong></li> <ul> <li><strong>Role:</strong> Explain how data is collected, validated, deduplicated, and scaled across geographies and verticals, referencing internal reruns and benchmarks.<br><br></li> <li><strong>Technical Skills:</strong> Understanding of <strong>data validation, sampling frameworks, distributed storage performance</strong>, and data versioning (e.g., Delta Lake advantages).<br><br></li> <li><strong>Outcome:</strong> Clients gain trust in data quality and scalability across enterprise-grade analytics environments.<br><br></li> </ul> <li><strong>Data Sampling &amp; Proof-of-Concept Delivery</strong><strong><br><br></strong></li> <ul> <li><strong>Role:</strong> Generate and deliver <strong>custom data samples</strong> aligned with client use cases, whether via <strong>API queries, Parquet exports, Delta tables, or CSV snapshots</strong>.<br><br></li> <li><strong>Technical Skills:</strong><strong><br><br></strong></li> <ul> <li>Hands-on data extraction and transformation using <strong>SQL and Python</strong><strong><br><br></strong></li> <li>Preparing data in optimal <strong>formats (e.g., Parquet v Delta)</strong><strong><br><br></strong></li> <li>Managing delivery through <strong>multiple mechanisms</strong>: secure S3 share, Snowflake Data Share, API endpoints, or CSV download portals.<br><br></li> </ul> <li><strong>Outcome:</strong> Clients can validate data structure, schema, and use-case fit before full-scale adoption.<br><br></li> </ul> <li><strong>Use Case Customization &amp; Advanced Analytics</strong><strong><br><br></strong></li> <ul> <li><strong>Role:</strong> Demonstrate how Similarweb data can be enriched with client datasets (POS, CRM, or loyalty).<br><br></li> <li><strong>Technical Skills:</strong> SQL and Python for data joins, <strong>REST and GraphQL APIs</strong>, <strong>JSON schema design</strong>, and familiarity with <strong>Model Context Protocol (MCP)</strong> for LLM integrations.<br><br></li> <li><strong>Outcome:</strong> The client sees practical, technically sound pathways to integrating Similarweb data into their own analytical models and AI workflows.<br><br></li> </ul> </ol> <h3><strong>Collaboration with Sales &amp; Customer Teams</strong></h3> <ul> <li>Partner with <strong>Enterprise Sales Managers</strong> to qualify and design technical solutions during the sales process.<br><br></li> <li>Work with <strong>Enterprise Account Managers</strong> to drive expansion and deepen platform adoption through technical enablement.<br><br></li> <li>Collaborate closely with <strong>Customer Success and Delivery teams</strong> to ensure smooth technical transitions from pre-sales to production.<br><br></li> <li>Create reusable <strong>demos, templates, and data delivery playbooks</strong> for use across GCR teams.<br><br></li> <li>Participate in <strong>strategic account planning</strong> and contribute feedback to product and data engineering based on customer needs.<br><br></li> </ul> <h3><strong>Market &amp; Product Expertise</strong></h3> <ul> <li>Stay up to date with <strong>AI/LLM data standards, data engineering best practices, and cloud-native architectures</strong>.<br><br></li> <li>Provide feedback to product and data engineering on <strong>API performance, schema design, and data format optimization</strong>.<br><br></li> <li>Maintain familiarity with <strong>Model Context Protocol (MCP)</strong>, <strong>OpenAPI</strong>, and emerging standards for <strong>data interoperability and contextual AI integrations</strong>.<br><br></li> </ul> <h3><strong>Project Support &amp; Technical Governance</strong></h3> <ul> <li>Lead <strong>technical scoping and architecture reviews</strong> during the pre-sales phase.<br><br></li> <li>Oversee <strong>sample generation, performance validation, and schema testing</strong>.<br><br></li> <li>Provide escalation support on <strong>data performance, pipeline reliability, and delivery troubleshooting</strong>.<br><br></li> <li>Ensure solutions align with <strong>data security, privacy, and compliance</strong> best practices.<br><br></li> </ul> <h3><strong>Qualifications</strong></h3> <ul> <li><strong>Bachelor’s degree</strong> in Computer Science, Engineering, or related field.<br><br></li> <li><strong>5+ years</strong> in pre-sales, solution architecture, or data consulting, with a strong focus on technical delivery.</li> <li><strong>Technical Expertise:</strong><strong><br><br></strong></li> <ul> <li><strong>Data Architecture &amp; Integration:</strong> Deep understanding of cloud ecosystems (AWS, Azure, GCP) and <strong>data warehousing frameworks</strong> (Snowflake, Databricks, Redshift).<br><br></li> <li><strong>SQL &amp; Data Modeling:</strong> Strong query and optimization skills for data analysis and transformation.<br><br></li> <li><strong>APIs &amp; Data Exchange:</strong> REST and GraphQL API fluency, JSON schema design, authentication (OAuth 2.0, JWT).<br><br></li> <li><strong>File Formats:</strong> Deep understanding of <strong>CSV, JSON, Parquet, and Delta</strong> file formats—knowing when to use each for efficiency, scalability, or incremental updates.<br><br></li> <li><strong>Data Sample Delivery:</strong> Ability to <strong>create, test, and deliver sample datasets</strong> across APIs, S3, and warehouse sharing mechanisms.<br><br></li> <li><strong>MCP &amp; AI Integrations:</strong> Awareness of <strong>Model Context Protocol</strong>, LLM context injection, and structured data retrieval patterns.<br><br></li> </ul> <li>Proven experience <strong>translating business requirements into technical solutions</strong> for large enterprise data ecosystems.<br><br></li> <li>Excellent communication and presentation skills—able to bridge the gap between <strong>technical and commercial teams</strong>.<br><br></li> <li>Fluent in <strong>Japanese and English</strong> (written and spoken) with experience serving enterprise clients.</li> <li>Strong problem-solving, self-management, and team collaboration skills.</li> </ul><div class="content-conclusion"><p>We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available <a href="https://www.similarweb.com/corp/legal/applicant-privacy-policies/" target="_blank">here</a>.</p></div>