Azure Data Architect

Azure Databricks Architect
We are seeking a Azure Databricks Architect to define and lead the architecture
of scalable, secure, and high-performance data platforms on Microsoft Azure.
This role is hands-on and requires both architectural leadership and direct
contribution to design, development, optimization, and delivery. The ideal
candidate will shape platform strategy while actively building proof-of-concepts,
reference implementations, and production-grade solutions.
Key responsibilities
Own the end-to-end architecture for Azure Databricks-based data platforms, including
ingestion, transformation, storage, serving, and governance layers.
Design reusable frameworks, ELT patterns, and data models that improve
delivery speed, consistency, and maintainability.
Build and optimize pipelines and Spark jobs directly, with a strong focus on
performance, reliability, and cost efficiency.
Architect solutions using Azure Databricks, Delta Lake, ADLS, Azure Data
Factory, and related Azure platform services.
Establish governance, security and code-quality standards for the platform.
Partner closely with business analysts, functional teams, and engineering
teams to translate requirements into working solutions.
Guide troubleshooting, code reviews, and production support for complex
data workloads.
Drive modernization and cloud-native adoption across data and analytics
capabilities.
Must-have qualifications
12+ years of experience in data engineering, data architecture, or platform
engineering.
Strong hands-on experience with Azure Databricks, Spark, Python/Scala,
SQL, and Delta Lake.
Proven experience designing and implementing cloud data hubs, data lakes,
and analytical data stores.
Experience with Azure DevOps, CI/CD, and automated deployment practices.
Ability to work directly on technical implementation, not only provide oversight.
Strong communication and stakeholder collaboration skills.
Preferred qualifications
Experience in financial services or insurance.
Knowledge of Event Hub, Cosmos DB, Azure Synapse, or other Azure
analytics services.
Databricks or Microsoft Azure certifications.
Experience with reusable frameworks, shell scripting, and production support
in large-scale environments.