Role Overview

We are seeking a highly experienced Data Architect with 12+ years of experience in designing and implementing scalable data solutions in Azure environments. The ideal candidate will possess strong expertise in data transformation logic, Azure Data Factory, Databricks optimization, and performance engineering. This role demands strategic thinking, architectural leadership, and hands-on technical depth.

Key Responsibilities

Architect and design end-to-end data platforms leveraging Azure technologies.
Interpret complex data transformation logic written in T-SQL and translate it into optimized processes within Azure Databricks (PySpark/SQL).
Design, build, and oversee data ingestion pipelines using Azure Data Factory (ADF) from source systems to RAW layer.
Establish scalable data lake and lakehouse architecture patterns.
Collect, monitor, and analyze performance metrics to optimize ingestion and transformation pipelines.
Perform advanced performance tuning and optimization of Databricks read/write operations.
Ensure high availability, reliability, and scalability of data solutions.
Define and implement best practices for data governance, security, and compliance.
Provide architectural guidance and mentorship to data engineers and junior architects.
Drive technical decision-making and collaborate with cross-functional stakeholders.

Required Skills & Expertise

12+ years of experience in data engineering, data architecture, or related roles.

Strong expertise in:

T-SQL and complex data transformation logic interpretation.
Azure Databricks (Spark, PySpark, Delta Lake).
Azure Data Factory (ADF) – end-to-end ingestion pipeline development.

Additional requirements:

Hands-on experience in performance optimization of Databricks read/write queries.
Experience analyzing pipeline performance metrics and implementing improvements.
Strong understanding of data modeling (OLTP, OLAP, Dimensional Modeling).
Experience designing data lake/lakehouse architectures.
Familiarity with Azure ecosystem (ADLS Gen2, Synapse, Azure SQL, etc.).
Knowledge of CI/CD practices for data platforms.
Strong problem-solving and analytical mindset.

Leadership & Behavioral Competencies

Proven ability to mentor and guide data engineering teams.
Strong ownership mindset with high motivation and accountability.
Excellent stakeholder communication skills.
Ability to translate business requirements into technical architecture.
Strategic thinker with strong execution capabilities.

Preferred Qualifications

Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect).
Experience with DevOps and automation in Azure.
Exposure to enterprise-scale data modernization programs.

What We Offer

A competitive salary and comprehensive benefits package.
The opportunity to work on challenging problems with a talented, diverse team.
A dedicated budget for professional development, conferences, and certifications.
Flexible working hours and a hybrid work model.
A dynamic and innovative work environment where your technical vision will shape the future of our products.

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