for product and analytics platforms. The role focuses on building canonical, scalable, and high-performance data models on modern cloud data platforms while ensuring strong governance and data quality standards.
Key Responsibilities
Design and deliver
conceptual, logical, and physical data models
for enterprise platforms.
Define
canonical data models
, entity relationships, dimensions, facts, and data dictionaries.
Create implementation-ready artifacts including schemas, table structures, partitioning, and indexing strategies.
Define and validate
ETL / ELT mappings
, ensuring clear
data lineage and traceability
.
Ensure models meet
scalability, performance, security, and compliance
requirements.
Collaborate with product managers and engineering teams to translate business use cases into data model designs.
Establish standards for
metadata, master data, reference data, and data quality
.
Work within
Agile teams
, contributing to sprint planning, reviews, and design discussions.
Mentor engineers and analysts on
data modeling best practices
.
Required Skills & Experience
8-12 years of experience in
enterprise data architecture and data modeling
.
Strong expertise in:
Dimensional Modeling
Normalized Models
Data Vault
Canonical Modeling
Hands-on experience with
cloud data platforms
such as Snowflake, Databricks, BigQuery, or Redshift.
Experience with
AWS, Azure, or GCP
environments.
Strong
SQL skills
and familiarity with Spark, dbt, and ETL/ELT frameworks.
Experience with
data modeling tools
(Erwin, ER/Studio, Sparx, Archi, or similar).
Knowledge of
data lineage, metadata management, and data quality frameworks
.
Understanding of performance tuning, partitioning, storage formats (Parquet/ORC), and query optimization.
Excellent communication and stakeholder management skills.
Job Type: Contractual / Temporary
Pay: ?2,000,000.00 - ?2,100,000.00 per year
Work Location: In person
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