
Databricks Architect
2 days ago
About ARAs Client
ARAs Client is a global leader in end-to-end data and analytics solutions with nearly two decades of experience in enabling organizations to derive business value from modern data capabilities. Operating with the scale of a global consulting firm and the depth of a niche partner, ARAs Client has delivered cutting-edge data modernization, analytics, and AI/ML solutions to enterprises worldwide.
Recognized as a
Gartner Peer Insights Customers' Choice in 2022 & 2023
and certified by
Great Place to Work India in 2023
, ARAs Client is celebrated for innovation, employee experience, and award-winning reusable data solutions that accelerate time-to-value for customers.
With a 1,200+ strong global workforce, the company fosters a culture of continuous learning, collaboration, and problem-solving—empowering professionals to grow while transforming the future of data.
Role Summary
We are seeking a highly skilled
Data Architect
to design and optimize cloud-native data architectures on platforms like
Databricks and Snowflake
. In this role, you will lead the development of scalable data pipelines, drive governance and security frameworks, and enable advanced analytics and AI/ML solutions for global enterprise clients. This is a leadership opportunity for professionals passionate about shaping modern data ecosystems and mentoring data engineering teams.
Key Responsibilities
- Design and implement
Lakehouse architectures
using Databricks, Delta Lake, and Apache Spark. - Build and optimize
data pipelines, ETL/ELT processes, and integration strategies
across platforms. - Define and enforce
data architecture standards, governance, and security models
. - Optimize
Databricks clusters and jobs
for performance and cost efficiency. - Provide
technical leadership and mentorship
to data engineers and developers. - Integrate Databricks with
cloud platforms (Azure preferred, AWS/GCP acceptable)
and enterprise systems. - Evaluate and recommend
new tools and technologies
to strengthen the data ecosystem. - Ensure compliance with
data privacy, governance, and regulatory frameworks
. - Support
proposal development and pre-sales activities
with technical expertise.
Must-Have Qualifications
- 10+ years of experience in
data engineering, architecture, or analytics
. - Hands-on expertise in
Databricks, Apache Spark, and Snowflake
. - Strong proficiency in
Python, SQL, and PySpark
. - Deep understanding of
Delta Lake, Lakehouse architecture, data mesh, and governance principles
. - Knowledge of
Unity Catalog
and cloud platforms (
Azure preferred, AWS/GCP acceptable
). - Bachelor's degree in
Computer Science, Engineering, or related field
. - Strong communication, leadership, and problem-solving skills.
Nice to Have
- Familiarity with
CI/CD pipelines
and version control (GitHub). - Experience delivering solutions balancing
architecture requirements with client-specific needs
. - Domain experience in
Retail
. - Relevant
technical certifications
in cloud, Databricks, or Snowflake.
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