Data AS Consultant

This role requires a strong blend of technical expertise, customer-facing acumen, and solution-oriented problem solving . The Data AS Consultant will work closely with Sales & Account Managers to provide technical leadership and solution design for highly consultative enterprise projects. It is a revenue-generating pre-sales position focused on enabling technical adoption and driving customer success for both new and expansion opportunities . This role reports directly to the Team Manager, DSI , with a dotted line to the Regional Head of Japan . Responsibilities Technical Consultation & Solution Design Serve as a trusted technical advisor to enterprise customers, translating business goals into scalable, production-grade technical architectures. Design and document data integration architectures leveraging Similarweb’s APIs, DaaS feeds, and platform products to meet enterprise data requirements. Architect end-to-end data delivery pipelines into client ecosystems (e.g., Snowflake, Databricks, S3, or Google Cloud Platform ). Provide technical workshops and POCs , guiding clients on ingestion, normalization, and querying best practices. Develop Statements of Work (SOWs) , technical proposals, and detailed integration documentation to accelerate collaboration between internal teams and customers. Technical Skill Execution Examples Integration & Data Delivery Role: Design and implement integration workflows delivering Similarweb’s data via API, S3, Snowflake, or GCP Storage , tailored to customer infrastructure. Technical Skills: Advanced SQL querying and performance tuning in Databricks / Snowflake Proficiency with data file formats (CSV, JSON, Parquet, Delta) and understanding the trade-offs between performance, compression, and schema evolution Strong knowledge of ETL design, data governance, and access control Outcome: Clients understand technical feasibility and best practices for incorporating Similarweb data into their analytical stack. Data Quality, Coverage, and Scalability Role: Explain how data is collected, validated, deduplicated, and scaled across geographies and verticals, referencing internal reruns and benchmarks. Technical Skills: Understanding of data validation, sampling frameworks, distributed storage performance , and data versioning (e.g., Delta Lake advantages). Outcome: Clients gain trust in data quality and scalability across enterprise-grade analytics environments. Data Sampling & Proof-of-Concept Delivery Role: Generate and deliver custom data samples aligned with client use cases, whether via API queries, Parquet exports, Delta tables, or CSV snapshots . Technical Skills: Hands-on data extraction and transformation using SQL and Python Preparing data in optimal formats (e.g., Parquet v Delta) Managing delivery through multiple mechanisms : secure S3 share, Snowflake Data Share, API endpoints, or CSV download portals. Outcome: Clients can validate data structure, schema, and use-case fit before full-scale adoption. Use Case Customization & Advanced Analytics Role: Demonstrate how Similarweb data can be enriched with client datasets (POS, CRM, or loyalty). Technical Skills: SQL and Python for data joins, REST and GraphQL APIs , JSON schema design , and familiarity with Model Context Protocol (MCP) for LLM integrations. Outcome: The client sees practical, technically sound pathways to integrating Similarweb data into their own analytical models and AI workflows. Collaboration with Sales & Customer Teams Partner with Enterprise Sales Managers to qualify and design technical solutions during the sales process. Work with Enterprise Account Managers to drive expansion and deepen platform adoption through technical enablement. Collaborate closely with Customer Success and Delivery teams to ensure smooth technical transitions from pre-sales to production. Create reusable demos, templates, and data delivery playbooks for use across GCR teams. Participate in strategic account planning and contribute feedback to pr