Data AS Consultant

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 product and data engineering based on customer needs.
• Market & Product Expertise
• Stay up to date with AI/LLM data standards, data engineering best practices, and cloud-native architectures .
• Provide feedback to product and data engineering on API performance, schema design, and data format optimization .
• Maintain familiarity with Model Context Protocol (MCP) , OpenAPI , and emerging standards for data interoperability and contextual AI integrations .
• Project Support & Technical Governance
• Lead technical scoping and architecture reviews during the pre-sales phase.
• Oversee sample generation, performance validation, and schema testing .
• Provide escalation support on data performance, pipeline reliability, and delivery troubleshooting .
• Ensure solutions align with data security, privacy, and compliance best practices.

Requirements

• Bachelor's degree in Computer Science, Engineering, or related field.
• 5+ years in pre-sales, solution architectu

Additional Information

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 .

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