Senior Data Architect

Job Title: Data Architect

Location:

Experience:

Job Overview

We are looking for an experienced Data Architect to design and build modern data platforms and architectures. The ideal candidate will have strong expertise in Snowflake, Databricks, Azure Data Factory, Python, and Spark, and will lead the design of scalable data lakes, data warehouses, and data lakehouses.

Key Responsibilities

• Develop and implement enterprise-wide data architecture strategies.
• Design Data Lakes, Data Warehouses, and Data Lakehouses on cloud platforms.
• Lead data modernization initiatives using Snowflake, Databricks, ADF, Python, and Spark.
• Build and optimize batch and streaming data pipelines.
• Create frameworks for data ingestion, transformation, and automation.
• Ensure data governance, quality, and metadata management standards.
• Collaborate with engineering, analytics, and business teams.
• Provide technical leadership and mentoring.

Required Skills

• 10–15 years of IT experience, including 8+ years as a Data Architect.
• Strong hands-on experience with:

• Snowflake

  (primary skill)

• Databricks & Spark

  (batch + streaming)

• Azure Data Factory (ADF)

• Python

• Strong understanding of ETL/ELT, data modeling, and query optimization.
• Experience with streaming tools (Kafka, Event Hubs, Spark Streaming).
• Knowledge of data governance and cloud-native services (Azure/AWS/GCP).
• Excellent communication and leadership abilities.