
Data Architect – Azure
2 days ago
Job Title: Data Architect – Azure & Enterprise Data
Experience: 10+ Years
Location: Bangalore | Gurugram
Notice: Immediate Joiners Only
Role Overview
We are seeking an experienced
Data Architect
with over 10 years of expertise in
Enterprise Data Management, Data Engineering, and Data Architecture
. The ideal candidate will have strong skills in
data modeling (conceptual & logical, not limited to dimensional modeling)
,
ETL and pipeline design
, and
Azure cloud technologies
. This role requires a
proactive leader
who is visible, collaborative, and capable of engaging with
multiple stakeholders across cross-functional teams
, particularly in the
Oil & Gas (O&G)
domain.
Key Responsibilities
- Define, design, and implement
enterprise-level data architecture
aligned with business goals and IT strategy. - Develop
conceptual and logical data models
, ensuring data consistency, quality, and governance across systems. - Architect and optimize
ETL workflows, data pipelines, and integration frameworks
on
Azure cloud
. - Partner with
business stakeholders, IT teams, and cross-functional groups
to gather requirements and translate them into scalable data solutions. - Lead
data engineering efforts
, ensuring efficient data ingestion, transformation, and delivery across platforms. - Ensure
enterprise data architecture standards
are adhered to, including security, governance, and compliance. - Act as a
visible, proactive leader
, engaging stakeholders and guiding teams with best practices in enterprise data management. - Mentor and provide technical leadership to
data engineers and cross-functional teams
.
Required Skills & Experience
- 10+ years
of experience in
Data Architecture & Data Engineering
. - Proven expertise in
data modeling (conceptual & logical)
– beyond just dimensional modeling. - Strong background in
ETL design, pipeline development, and data engineering
best practices. - Hands-on experience with
Azure Data services
(ADF, Databricks, Synapse, Data Lake, etc.). - Experience working with
enterprise data systems
in complex industries (Oil & Gas preferred). - Excellent
communication and stakeholder management skills
, with the ability to influence across business and technical teams. - Proactive, visible leadership style with the ability to
manage cross-functional teams
and drive execution.
Good to Have
- Knowledge of
data governance frameworks
(e.g., DAMA, DCAM). - Exposure to
modern data platforms
and cloud-native architectures. - Experience with
enterprise-scale digital transformation projects
.
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