Introduction to the Role

We are seeking an experienced
Data Architect
with
10–18 years of expertise
in data architecture, engineering, and analytics. The role demands deep knowledge of up-to-date data platforms, cloud technologies, and big data frameworks to design scalable, secure, and high-performing data solutions.

Accountabilities
Design and implement scalable
data architecture
solutions across cloud and hybrid environments.
Leverage
Databricks
for data processing, analytics, and machine learning workflows.
Collaborate with engineering and business teams to translate requirements into
data models and pipelines
.
Orchestrate and monitor
ETL workflows
using
Apache Airflow
.
Ensure
data security, compliance, and governance standards
are met.
Optimize data storage, processing, and querying for
performance and cost efficiency
.
Provide
technical leadership
and mentor teams on data best practices.

Essential Skills / Experience
10+ years in
data architecture and analytics
.
Robust expertise in
Databricks
.
Proficiency with at least one
cloud platform




(AWS, Azure, or GCP) and integrating Databricks with them.
Solid understanding of
data engineering, ETL, and data modelling
principles.
Advanced
SQL
for querying, transformation, and analysis.
Proficiency in
Python
for scripting, automation, and data manipulation.
Solid hands-on experience with
Apache Airflow
for workflow orchestration.
Familiarity with
big data technologies
(Spark, Hadoop, etc.).
Knowledge of
data warehousing concepts and best practices
.
Proficiency in
version control systems
(Git).
Excellent
communication and collaboration skills
.

Desirable Skills / Experience
Relevant
certifications in Databricks and cloud platforms
.
Experience defining
data governance frameworks
.
Exposure to
advanced ML/AI use cases
with Databricks.
Hands-on work with
containerization/orchestration tools
(Docker, Kubernetes).

Work Environment & Collaboration:

We value a hybrid, collabo

📌 Data Architect Chennai (India)
🏢 Agilisium Consulting
📍 India