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.
ResponsibilitiesTechnical 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.

Qualifications

Bachelor's degree in Computer Science, Engineering, or related field.
5+ years in pre-sales, solution architecture, or data consulting, with a strong focus on technical delivery.

Technical Expertise:

Data Architecture & Integration:
Deep understanding of cloud ecosystems (AWS, Azure, GCP) and data warehousing frameworks (Snowflake, Databricks, Redshift).

SQL & Data Modeling:
Strong query and optimization skills for data analysis and transformation.

APIs & Data Exchange:
REST and GraphQL API fluency, JSON schema design, authentication (OAuth 2.0, JWT).

File Formats:

Deep understanding of CSV, JSON, Parquet, and Delta file formats—knowing when to use each for efficiency, scalability, or incremental updates.

Data Sample Delivery:
Ability to create, test, and deliver sample datasets across APIs, S3, and warehouse sharing mechanisms.

MCP & AI Integrations:
Awareness of Model Context Protocol, LLM context injection, and structured data retrieval patterns.

Proven experience translating business requirements into technical solutions for large enterprise data ecosystems.
Excellent communication and presentation skills—able to bridge the gap between technical and commercial teams.
Fluent in Japanese and English (written and spoken) with experience serving enterprise clients.
Strong problem-solving, self-management, and team collaboration skills.

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