Website:
mindbrain.co.in
Job details:
Job Title: Data Architect
Location: Pune / Mumbai / Chennai (For asset collection and drop)
Shift: UK Shift
Experience: 10+ Years (5+ Years in Architecture Role)
Role Overview
We are looking for an experienced Data Architect to define and lead enterprise-wide Data & Analytics architecture. The role involves designing scalable data ecosystems, implementing governance frameworks, ensuring high data quality, and driving strategic roadmaps aligned with business objectives.
Key Responsibilities
- Design and establish enterprise pillars for: Data Governance, Metadata Management, Master Data Management (MDM), Data Quality, Data Warehousing, Data Sourcing & Staging, BI & Analytics
- Create and manage the enterprise Information Management framework, architecture, and processes.
- Own technology decisions for enterprise Data & Analytics platforms.
- Define solution assessment criteria for product/vendor selection.
- Develop strategic roadmaps for Data & Analytics transformation.
- Lead and implement enterprise Data Quality strategy.
- Review third-party high-level designs and ensure architectural consistency.
- Establish architecture standards, reusable patterns, and governance controls.
- Translate business requirements into scalable technical architectures.
- Provide architectural guidance across multiple medium-to-large projects.
- Collaborate with business stakeholders and communicate complex technical concepts in simple terms.
Essential Skills & Experience
- 10+ years of overall IT experience with 5+ years in Data Architecture.
- Strong hands-on experience in enterprise data architecture, design, and implementation.
- Expertise in ETL/ELT tools such as: Talend, Informatica, IBM DataStage
- Experience building enterprise-grade ETL/ELT pipelines.
- Deep expertise in: Metadata Management (data lineage, enterprise data models), Data Quality (master & transactional data), Enterprise Data Warehousing (global scale), Reporting & KPI frameworks, Data Modelling (Dimensional & Relational), Self-Service BI platforms
- Strong knowledge of SDLC methodologies (Agile, DevOps, Rapid Prototyping).
- Ability to evaluate technology alternatives based on financial impact (cost vs benefit).
- Strong stakeholder management and communication skills.
- Experience leading enterprise-level initiatives in multinational environments.
Preferred Qualifications
- Experience in cloud data platforms (AWS / Azure / GCP).
- Exposure to modern data lake & lakehouse architectures.
- Experience working in UK/European client environments.
Click on Apply to know more.