AI & Service Transformation / AI & サービス トランスフォーメーション
☆Data Architect *Insurance industry
【Role and responsibilities】
1. Act as a hands-on Data Architect and Technical IT Program Manager (ITPM), owning end-to-end delivery across infrastructure and data layers.
2. Lead design and execution of AWS-first data platform migrations, with strong focus on Databricks on AWS.
3. Translate deep technical topics into clear, executable delivery plans, timelines, dependencies, and milestones.
4. Drive and manage infrastructure and data engineering teams, ensuring alignment across cloud, platform, and analytics workstreams.
5. Lead complex migration programs including:
Coexistence and two-entity data lake merge scenarios
Parallel run, data parity validation, cutover planning, and rollback strategy
6. Take accountability for program delivery including:
Plan ownership, RAID management, dependency tracking, and cutover execution
Stakeholder communication and status reporting
Budget and delivery governance
7. Convert technical discussions into actionable backlogs for:
Infrastructure teams
Data engineering teams
Cloud brokerage / platform enablement teams
8. Ensure strong governance, security, and access management across data platforms and downstream analytics tools.
【Must】
1. Strong hands-on experience with Databricks on AWS, including:
Unity Catalog (S3-backed), governance, and fine-grained access control
Instance profiles, cluster policies, multi-workspace (E2) architectures
SCIM-based identity integration (e.g., Azure AD, Okta)
2. Proven AWS infrastructure migration experience, including concrete leadership examples in:
VPC and Transit Gateway (TGW) design
PrivateLink, cross-account IAM, and SSO
Landing zone and multi-account patterns
3. Strong experience with Infrastructure as Code (IaC) on AWS:
Terraform modules for AWS and Databricks-on-AWS provisioning
Unity Catalog, S3, IAM hardening
CI/CD pipelines for infrastructure and data platform deployment
4. Demonstrated Technical ITPM track record, accountable for:
End-to-end delivery plans
RAID, dependency and cutover management
Stakeholder communication and delivery governance
5. Experience managing access management and entitlement models, including:
Mapping Databricks Unity Catalog access to downstream analytics tooling
Group-based provisioning, SCIM patterns, and auditability
6. Strong leadership skills with experience leading engineering and platform teams.
【Nice to have】
1. Experience with analytics tool integration, including access mirroring between Databricks and tools such as QuickSuite or equivalent BI platforms.
2. Prior experience delivering large-scale cloud and data transformations in regulated or enterprise environments.
3. Strong understanding of data governance, lineage, and compliance requirements.
4. Experience working with multi-entity or post-merger data platform consolidation initiatives.
5. Ability to communicate effectively with senior leadership, translating complex technical programs into clear business impact.
6. Exposure to financial services, insurance, or other data-intensive industries.
■給与
月給：経験・能力など考慮の上、当社規程により決定
裁量労働手当：有(60,000-80,000円/月支給) *管理監督者グレードでの採用の場合は無し
残業手当：なし
昇給：都度
賞与：あり
■勤務時間
9:00〜18:00
■休日/休暇
年次有給休暇（初年度10日 ※入社日によって異なる場合有）、完全週休2日制（土曜日・日曜日）、祝日、年末年始、慶弔休暇、育児・介護休業
■福利厚生
保険：健康・厚生年金・雇用・労災保険
制度：財形貯蓄・確定拠出年金・カフェテリアプラン（選択型法人会員福利厚生サービス）
※財形貯蓄・確定拠出年金は正社員のみ対象
施設：法人会員施設（スポーツクラブ、温泉保養所、ホテル他)
Tokyo Office / 東京事業所採用
Work 3 days a week at client office(Tokyo), 2 day a week work from home
週3日クライアント先（東京23区)での就業、週2日在宅勤務可能
