Data Architect
- Clairvoyant India
- 12 - 16 years
- Hyderabad
- 4 days ago
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Job Description
Role & responsibilities
Title: Data Architect Enterprise Data Management
Experience: 12+ years
No. of Positions: 1
Location: Delhi NCR, Bangalore, Pune (Hybrid)
Job Summary: We are seeking a seasoned Data Architect with 12+ years of experience in designing scalable, metadata-driven data architectures. This individual will lead initiatives spanning enterprise metadata management, federated query design, real-time data integration, and semantic layer modelling. The ideal candidate will be hands-on, able to translate complex requirements into robust solutions, and collaborate closely with business, technology, and governance stakeholders. Strong communication and documentation skills are essential, as this role operates at the intersection of data strategy, engineering, and enterprise governance.
Must Have Skills:
12+ years of experience in data architecture and engineering, with deep expertise in metadata-driven, federated, and real-time data environments
Core Competencies
o Enterprise Metadata Management: Design and implementation of automated data discovery, cataloguing, and lineage tracking across heterogeneous data platforms
o Federated Query Architecture: Building unified data access layers that abstract complexity across multiple data sources and query engines
o Real-time Data Integration: Event-driven architectures for continuous metadata synchronization and schema evolution management
o Data Governance Frameworks: Establishing automated data quality, privacy compliance, and access control patterns at enterprise scale
o Semantic Layer Design: Creating business-friendly data models that bridge technical schemas with analytical requirements
Technical Proficiencies
o Programming: Python (data engineering libraries), SQL (advanced optimization), Scala/Java
o Data Modelling: Dimensional modelling, graph databases, semantic web technologies
o Search & Discovery: Full-text search engines, vector similarity search, ML-based data classification
o API Architecture: REST, GraphQL, and gRPC for data service exposure
o Streaming Platforms: Message queuing and event streaming architectures
Track record of effective collaboration with Data Engineers, Governance Leads, BI/Analytics Developers, ML Engineers, and Product Owners on complex data initiatives
Demonstrated ability to produce data architecture diagrams, lineage flows, and maintain high-quality documentation standards
Excellent written and verbal communication skills, with the ability to interact with executive sponsors, technology teams, and governance stakeholders
Self-driven, hands-on architect with a lead-by-doing mindset for solution validation, issue resolution, and cross-team enablement
Nice to Have Skills:
Implementation experience with enterprise knowledge graphs
Understanding of data mesh and data fabric architectural approaches
Experience with MLOps environments and integration of feature stores
Execution of multi-cloud data strategies (e.g., AWS, Azure, GCP)
Exposure to vector search, ML-based classification, and automated data discovery
Familiarity with full-text search engines and search-driven metadata environments
Role & Responsibilities:
Architect, implement, and evolve the enterprise metadata and data architecture to enable discovery, quality, and governance at scale
Lead the design of a federated query layer that abstracts data access across distributed platforms and technologies
Define and implement semantic layers for business-friendly data modeling and reporting enablement
Develop and enforce data governance rules via architectural automation and controls
Collaborate across functions with Data Engineers, Analytics Teams, Governance Stakeholders, UI/UX Designers, and ML Engineering teams to ensure architectural alignment and delivery
Enable real-time metadata synchronization, schema tracking, and classification pipelines
Create and maintain data architecture documentation, lineage maps, and solution artifacts
Support strategic initiatives involving data mesh, knowledge graph, MLOps, and cloud-native data ecosystems
Drive solutioning, reviews, and standards as a technical advisor and hands-on architect
Communicate architectural vision, design decisions, and roadmap updates with executives, product owners, and technical teams
Key Skills: Metadata management, Data architecture, Semantic modeling, Federated queries, Real-time integration, Data governance, Python, SQL, Scala, Graph modeling, GraphQL, Kafka, API design, Data mesh, Knowledge graph
Education:
Bachelors or Masters degree in Computer Science, Information Systems, or related field
Certifications in Cloud Architecture, Metadata Management, or Data Modeling (e.g., DAMA, DCAM, TOGAF) preferred
Preferred candidate profile
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full timeContact Details:
Company: Clairvoyant IndiaLocation(s): Hyderabad
Keyskills: Data Modeling Data Architecture Python Rest Graphql
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