Data Architect | Staff or Non-line Manager | IT Enterprise Data & Platforms Japan (Shinagawa, Japan, Tokyo)
About this opportunity
The Position
Our IT EDP Data & Analytics team is seeking a talented and experienced Data Architect to join our team. The ideal candidate will be responsible for designing, creating, and managing our company's data architecture. This individual will play a key role in developing data strategies, implementing data solutions, and ensuring the overall integrity and security of our data assets for Digital Products delivered to Business.
This individual converts business and analytics into Snowflake models, patterns, and pipelines for consistent data ingestion, transformation, quality, and governance. Expertise in Snowflake, dbt, ELT, and data contracts is essential. Pharmaceutical commercial data experience is a plus.
Tasks and Responsibilities
Design scalable, cost‑efficient Snowflake‑based data architectures
Define standardized patterns for ingestion, transformation, modeling, and consumption
Develop solution blueprints, including data flows, lineage, and integrations
Establish and govern data contracts (schema, SLAs, validation, evolution)
Lead conceptual, logical, and physical modeling using tools like SqlDBM and dbt
Build modular, reusable dbt models with strong testing and CI/CD practices
Integrate data quality, observability, and metadata‑driven validation
Design orchestrated pipelines using Airflow, Jenkins, or similar tools
Ensure compliance with governance, security, and access‑control standards
Partner across data, platform, and governance teams; mentor engineers and analysts
Requirements
Degree in Computer Science, Engineering, Data/Information Systems, or a related field, with 7+ years of relevant experience in data engineering, analytics engineering, or similar roles.
Enterprise data architecture experience with Snowflake or similar platforms
Strong hands‑on ELT/ETL and dbt skills (models, tests, macros, CI/CD)
Deep understanding of Data Vault and dimensional modeling
Experience in designing and governing data contracts
Advanced SQL and ELT expertise
Experience in developing and operating semantic layers supporting analytics, reporting, conversational AI, and self-service data consumption.
Familiarity with orchestration tools, Git workflows, and governance platforms
Strong stakeholder management, analytical thinking, and structured problem‑solving skills.
Excellent communication skills in English and Japanese, enabling clear interaction with technical and non‑technical stakeholders.
Nice to have
Data Vault 2.0 experience
Familiarity with Iceberg, external tables, and data catalogs
Knowledge of analytics layers (Power BI, Tableau, semantic models)
Exposure to cloud‑native and platform engineering practices
Job details
How this role compares
Computed from every other active Information Technology role in our database, not just this employer's listings.
We currently track 338 comparable Manager Information Technology roles across 57 biopharma companies.
Salary context
62 of 338 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 338 comparable roles
+ 20 more countries
Seniority mix
338 of 338 peers have a known seniority level
Therapeutic area mix
2 of 338 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.