Data Platform Architect

Waisl Ltd; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Waisl Ltd in Bengaluru, India seeks a Data Model Architect to lead scalable data models across the enterprise data platform. You will own conceptual, logical, and physical modeling for data lakes, lakehouses, warehouses, and ODS, ensuring governance and semantic clarity.

Ideal candidates bring 9+ years in data architecture and hands-on experience with modern stacks (Iceberg/Delta/Open sources) and tools like ER/Studio, ERWin, dbt, and Lucidchart. Strong collaboration across teams is essential.

Qualifications

• 9+ years of experience in data architecture, data modeling, or data engineering.
• Strong expertise in conceptual/logical/physical modeling, dimensional modeling, and data vault.
• Experience designing models for modern stacks—Data Lakehouse, MPP warehouses, and OLTP systems.
• Hands-on experience with ER/Studio, ERWin, dbt, Lucidchart, or similar modeling tools.
• Solid understanding of data governance, lineage, metadata management, and MDM.
• Ability to collaborate with cross-functional teams and communicate complex data concepts clearly.

Responsibilities

• Define and evolve enterprise-wide conceptual, logical, and physical data models.
• Lead data modeling for data lakes, lakehouse architectures, warehouses, and operational data stores.
• Establish data standards, taxonomies, ontologies, and naming conventions.
• Partner with data engineering to design schema evolution, partitioning, SCD strategies, and optimization for performance and cost.
• Work with domain-driven design and data product principles.
• Translate business requirements into high-quality data models and data contracts.
• Review pipelines, schemas, and data contracts for governance, quality, lineage, and security.
• Document models using standard tooling and communicate data structures clearly.

Skills

Data architecture

Data modeling

DDD (domain-driven design)

Data governance

Data lakehouse

Data vault

Tools

ER/Studio

ERWin

dbt

Lucidchart

Job description

Job Description: Data Model ArchitectWe are seeking a Data Model Architect to lead the design of scalable, future-ready data models across our enterprise data platform. This role combines deep technical expertise with strong conceptual modeling skills to ensure data is organized, governed, and optimized for analytics, operations, and product use cases.

What You’ll Do

• Define and evolve enterprise-wide conceptual, logical, and physical data models across domains.
• Lead data modeling for data lakes, lakehouse architectures, warehouses, and operational data stores.
• Establish data standards, taxonomies, ontologies, and naming conventions for cross-team consistency.
• Partner with data engineering teams to design schema evolution, partitioning, SCD strategies, and optimization for performance and cost.
• Work closely with architects to align data models with domain-driven design (DDD) and data product principles.
• Collaborate with product, engineering, and analytics teams to translate business requirements into high-quality data models.
• Review pipelines, schemas, and data contracts to ensure adherence to governance, quality, lineage, and security standards.
• Evaluate and introduce best practices for metadata management, master data, reference data, and semantic layers.
• Document models using industry-standard tooling and communicate data structures clearly to stakeholders.

What You Bring

• 9+ years of experience in data architecture, data modeling, or data engineering.
• Strong expertise in conceptual/logical/physical modeling, dimensional modeling, and data vault.
• Experience designing models for modern stacks—Data Lakehouse (Iceberg/Delta/Hudi), MPP warehouses (Snowflake/BigQuery/Redshift), and OLTP systems (Postgres/MySQL).
• Hands‑on experience with ER/Studio, ERWin, dbt, Lucidchart, or similar modeling tools.
• Solid understanding of data governance, lineage, DQ, metadata management, and MDM.
• Ability to collaborate with cross-functional teams and communicate complex data concepts simply and clearly.
• Familiarity with domain-driven design and semantic modeling is a strong plus.

We Prefer

• Experience designing data models for API-driven ecosystems, event-driven architectures, and streaming pipelines.
• Knowledge of industry data standards (Aviation, Retail. Energy etc).
• Exposure to graph modeling, ontology design, or knowledge graph concepts.
• Working knowledge of modern data catalogs (DataHub, OpenMetadata, Collibra).

Architectural Knowledge

• Strong knowledge of:
  • Event-driven architecture
  • CDC patterns
  • Lakehouse vs Data Warehouse principles
  • Semantic layers and API-based data access
  • Multi-zone data modeling (bronze/silver/gold)
  • High-performance partitioning & file layout design
  • Streaming vs micro-batching vs ELT