Senior Data Architect

Data Architect (8+ years in data architecture)

Job Summary:

We're seeking a skilled Data Architect to lead the design and delivery of innovative, scalable data solutions that
power our business. With deep expertise in Databricks and cloud platforms like Azure and AWS, you'll architect
high-performance data systems and drive impactful analytics. If you thrive on solving complex data challenges, this
is your chance to shine.

Key Responsibilities:

• Design scalable data lakes, warehouses, and real-time streaming architectures.

• Build and optimize data pipelines and Delta Lake solutions using Databricks (Spark, Workflows, SQL
Analytics).

• Develop cloud-native data platforms on Azure (Synapse, Data Factory, Data Lake) and AWS (Redshift, Glue,
S3).

• Create and automate ETL/ELT workflows with Apache Spark, PySpark, and cloud tools.

• Design and implement robust data models (e.g., dimensional, normalized, star schemas) to support
analytics and reporting.

• Leverage big data technologies (Hadoop, Kafka, Scala) for large-scale processing.

• Ensure data governance, security, and compliance with standards like GDPR and HIPAA.

• Optimize Spark workloads and storage for peak performance.

• Collaborate with engineering, analytics, and business teams to align data solutions with organizational
goals.
Required Skills &

Qualifications:

8+ years in data architecture, engineering, or analytics roles.
Hands-on experience with Databricks (Delta Lake, Spark, MLflow, pipelines).
Expertise in Azure (Synapse, Data Lake, Data Factory) and AWS (Redshift, S3, Glue).
Strong coding skills in SQL, Python OR Scala.

Experience with No

SQL (e.g., Mongo

DB), streaming (e.g., Kafka)
Knowledge of data governance and compliance best practices.
Excellent problem-solving and communication skills, with a knack for cross-team collaboration.