Job Description
Data Architect (Trainer)
Location: Pune (Hybrid)
Experience: 12–18 Years
We’re looking for a senior Data Architect (Trainer) who can guide experienced engineers in designing data‑resilient, compliant, and AI‑ready systems for BFSI environments. This role is part of the Exponential Engineer Programme, where participants work on a real, evolving BFSI project.
What This Role Is
A senior data architecture expert who can teach, mentor, and guide engineers on:
- BFSI‑grade data architecture
- Data governance, lineage, and quality
- Regulatory compliance (GDPR, PCI DSS, audit needs)
- AI‑ready data design (feature stores, explainability, bias mitigation)
- Enterprise‑scale data flows across transactional + analytical systems
You’ll help participants make architecture decisions that ensure security, auditability, scalability, and AI‑readiness.
Key Responsibilities
- Teach core BFSI data architecture concepts
- Explain data domains, ownership, lineage, and quality principles
- Guide teams on compliant data flows and regulatory readiness
- Review data models, governance frameworks, and NFRs
- Introduce ETL/ELT, CDC, event streaming, Kafka patterns
- Teach data mesh, MDM, and common anti‑patterns
- Mentor on resilience, caching, partitioning, DR, and scaling
- Support project work with hands‑on reviews and feedback
- Enable observability for data pipelines (Elasticsearch, logging, correlation)
Required Experience
- 12–18+ years in data architecture on enterprise‑scale programs
- Strong BFSI domain + regulatory compliance exposure
- Experience across Oracle/Postgre SQL, DWH, Big Data
- Hands‑on with Kafka, ETL/ELT, integration patterns
- Governance, lineage, and data quality implementation experience
- Cloud‑native data architecture (AWS/Azure)
Core Competencies
- Data modelling, DDD
- Transactional vs analytical integration
- Compliance‑driven design + auditability
- Working with AI, application, and enterprise architects
- Strong communication & facilitation skills
Deliverables
- Data architecture blueprint
- Governance + lineage documentation
- ETL/ELT + streaming integration designs
- Capstone‑ready data models
- Case studies, labs, and training materials
Preferred Certifications
- TOGAF / Enterprise Architecture
- CDMP / DAMA
- AWS or Azure Data Architect certification
Location: Pune (Hybrid)
Experience: 12–18 Years
We’re looking for a senior Data Architect (Trainer) who can guide experienced engineers in designing data‑resilient, compliant, and AI‑ready systems for BFSI environments. This role is part of the Exponential Engineer Programme, where participants work on a real, evolving BFSI project.
What This Role Is
A senior data architecture expert who can teach, mentor, and guide engineers on:
- BFSI‑grade data architecture
- Data governance, lineage, and quality
- Regulatory compliance (GDPR, PCI DSS, audit needs)
- AI‑ready data design (feature stores, explainability, bias mitigation)
- Enterprise‑scale data flows across transactional + analytical systems
You’ll help participants make architecture decisions that ensure security, auditability, scalability, and AI‑readiness.
Key Responsibilities
- Teach core BFSI data architecture concepts
- Explain data domains, ownership, lineage, and quality principles
- Guide teams on compliant data flows and regulatory readiness
- Review data models, governance frameworks, and NFRs
- Introduce ETL/ELT, CDC, event streaming, Kafka patterns
- Teach data mesh, MDM, and common anti‑patterns
- Mentor on resilience, caching, partitioning, DR, and scaling
- Support project work with hands‑on reviews and feedback
- Enable observability for data pipelines (Elasticsearch, logging, correlation)
Required Experience
- 12–18+ years in data architecture on enterprise‑scale programs
- Strong BFSI domain + regulatory compliance exposure
- Experience across Oracle/Postgre SQL, DWH, Big Data
- Hands‑on with Kafka, ETL/ELT, integration patterns
- Governance, lineage, and data quality implementation experience
- Cloud‑native data architecture (AWS/Azure)
Core Competencies
- Data modelling, DDD
- Transactional vs analytical integration
- Compliance‑driven design + auditability
- Working with AI, application, and enterprise architects
- Strong communication & facilitation skills
Deliverables
- Data architecture blueprint
- Governance + lineage documentation
- ETL/ELT + streaming integration designs
- Capstone‑ready data models
- Case studies, labs, and training materials
Preferred Certifications
- TOGAF / Enterprise Architecture
- CDMP / DAMA
- AWS or Azure Data Architect certification
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