About The Client:
A global IT services and consulting company multinational information technology (IT) headquartered in Tokyo Japan. The Client offers a wide array of IT services including application development infrastructure management and business process outsourcing. Their consulting services span business and technology while their digital solutions focus on transformation and user experience design. It excels in data and intelligence services emphasizing analytics AI and machine learning. Additionally their cybersecurity cloud and application services round out a comprehensive portfolio designed to meet the diverse needs of businesses worldwide.
About The Job:
- We are seeking a Principal Data Architect to lead the modernization and transformation of Timkens enterprise data estate.
- This role will define the data architecture vision platform roadmap reference patterns and governance guardrails needed to make enterprise data secure reliable discoverable reusable and optimized for analytics AI/ML and operational use cases.
- The Principal Data Architect will serve as a trusted advisor to business and technology leaders translating strategic needs into practical data architecture decisions standards and adoption plans.
- The position is based in Bangalore and is part of the Enterprise Architecture team within Corporate IT.
Essential Job Functions:
- Strategy & Roadmap: Drive the enterprise data architecture vision and roadmap aligning architecture decisions with business strategy corporate objectives and larger enterprise architecture.
- Platform Architecture: Lead architecture design for cross-domain platforms (Data Lakehouse enterprise data warehouse real-time streaming feature stores) to support analytics ML and operational use cases.
- DevOps & Automation: Design and oversee CI/CD pipelines and automated deployment frameworks.
- Collaborate with DevOps and platform teams to streamline release processes and ensure stability.
- Technology Evaluation:
Evaluate and recommend strategic technology choices and vendor partnerships; lead proof-of-concepts and total cost of ownership analysis.
- Reference Frameworks: Create and maintain reusable architecture patterns for data ingestion pipelines storage transformation serving metadata FinOps data quality performance resilience and observability. Standards & Guardrails: Define and govern enterprise data architecture standards design principles review criteria and reusable best practices to ensure consistent implementation across initiatives.
- Data Governance: Embed data governance capabilities into architecture including cataloging lineage quality master data management metadata management and lifecycle controls.
- Security & Compliance: Incorporate security privacy and regulatory controls into data architecture including classification access control encryption masking
- anonymization/pseudonymization and compliance obligations such as GDPR and CCPA where applicable.
- Technical Leadership: Provide technical leadership and mentorship to delivery teams and analysts review designs and architecture artifacts for consistency and quality.
- Architecture Alignment: Partner with Enterprise Architecture and Solution Architecture teams to maintain architectural consistency across enterprise platforms applications and data products.
- Stakeholder Collaboration: Collaborate with business data governance infrastructure security analytics and application teams to drive platform adoption integration and enterprise data reuse.
Qualifications:
- Education: Bachelors or masters degree in computer science information systems or related field. Architecture
- Experience:
15 years of experience in enterprise solution or platform architecture roles - data architecture data warehousing or enterprise data engineering. Database Technologies: Proficiency across relational analytical lakehouse NoSQL and cloud-native database technologies and management systems.
- Data Architecture & MoClienting: Experience with lakehouse architecture enterprise data warehouse data lake medallion architecture dimensional moClienting Data Vault ontology and knowledge graph concepts. Data
How to Apply: Interested candidates are encouraged to respond/submit their updated resumes and for additional job opportunities please visit Jobs In India VARITE.
Unlock Rewards: Refer Candidates and Earn.
If youre not available or interested in this opportunity please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program where youll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE.
Experience Level Bonus Referral: 0-2 years INR 5000
2-6 years INR 7500
6 years INR 10000
About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA UK CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking Cloud Infrastructure Hardware and Software Digital Marketing and Media Solutions Clinical Diagnostics Utilities Gaming and Entertainment and Financial Services.
Equal Prospect Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race color religion sex sexual orientation gender identity or expression national origin age marital status veteran status or disability status
Required Experience:
Staff IC
📌 Data Architect (Bengaluru)
🏢 VARITE
📍 Bengaluru
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