日本タタ・コンサルタンシー・サービシズ株式会社のAutomotive Cloud & Data (Architect / Engineer)【IoTDE - No.361, 362】求人

Project Snapshot:

Cloud-based mobility data platform (2+ years engagement)

Global team (10+ members) delivering scalable, secure solutions

Focus: Advanced analytics, AI, real-time decision-making

About the Department:

The Industrial Autonomy & Engineering (IA&E) unit drives digital transformation by delivering AI-enabled, software-defined, and secure intelligent products that enhance customer experience and performance.

We collaborate with Automotive OEMs and Tier-1 suppliers to advance Software-Defined Vehicles using AI, IoT, cloud, and cybersecurity technologies. Recognized globally as industry leaders, we combine strong local expertise with TCS’s global capabilities to deliver innovative, customer-centric solutions shaping the future of mobility.

About the Role:

Join a global team building next-generation cloud-native data platforms for leading automotive OEMs. Work with cutting-edge technologies across Cloud, Data, AI/ML, and GenAI, enabling real-time insights and data-driven transformation in the mobility space.

What You’ll Do:

Design and build scalable cloud data platforms for large-scale automotive datasets

Develop data pipelines, platforms, and AI-enabled solutions (ETL/ELT, streaming, batch)

Work with modern technologies: AWS/Azure, Databricks/Snowflake, Kafka, Python, Spark

Contribute to AI/GenAI use cases (LLMs, RAG, advanced analytics)

Collaborate with global teams in an onsite-offshore delivery model

Why Join Us?

Work on enterprise-scale automotive data transformation projects

Exposure to end-to-end platform development (strategy → architecture → build → operations)

Opportunity to shape AI-native and cloud-native architectures

Collaborate with global experts and cutting-edge tech ecosystems

Direct impact on connected vehicles, mobility, and data monetization

Career Growth:

Engineer → Senior Engineer / Architect / Platform Specialist

Architect → Enterprise Architect / Practice Lead

Gain expertise in:

AI-driven data platforms (DataOps / MLOps / AIOps)

Cloud-native data modernization

Real-time analytics & GenAI applications

What We’re Looking For:

Experience in Cloud & Data Engineering / Architecture

Strong knowledge of AWS or Azure, Data platforms, ETL/ELT pipelines

Exposure to Databricks / Snowflake / Spark / Python / SQL

Understanding of AI/ML or GenAI technologies (LLM, MLOps, etc.)

Japanese (Business level) and English (working proficiency)

Nice to Have:

Experience in automotive / mobility data domain (connected vehicles, SDV, telemetry)

Knowledge of DataOps / DevOps / CI-CD / streaming platforms (Kafka, Kinesis)

Certifications (AWS, Databricks, etc.)

■雇用形態

正社員

管理監督者分類：無（ケースによっては有）

労働時間区分：みなし労働時間制

みなし労働時間制の種類：専門業務型裁量労働制

一日当たりのみなし労働時間：8時間

■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：有の場合は、60,000円～80,000円/月

残業手当：無

昇給：あり

賞与：あり

■勤務時間

9:00～18:00

（実働8時間・フレックスタイム制有、コアタイム10:00～16:00）

■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）