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Azure Data Architect (Standard)

Azure Data Architect (Standard)

Infogain

12 - 14 years

15 - 20 Lacs

gurugram

Posted:2 weeks ago| Platform:

Apply

Skills Required

computer science telecom performance tuning automation data modeling healthcare microsoft analytics sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Design and architect
end-to-end data engineering solutions
leveraging
Azure Databricks
,
Data Lake
,
Synapse
, and
Azure Data Factory (ADF)
.
Define
data architecture blueprints
, data modeling standards, and
data governance
frameworks.
Lead the
design and optimization
of ELT/ETL data pipelines for structured, semi-structured, and unstructured data sources.
Collaborate with business, analytics, and application teams to ensure data solutions meet performance, scalability, and compliance requirements.
Oversee
data warehousing architecture
, including dimensional modeling, data mart design, and performance tuning.
Drive best practices in
data quality, metadata management, lineage, and cataloging
.
Provide technical leadership to data engineers and guide the team in implementing scalable, secure, and cost-effective data solutions.
Evaluate and integrate
new tools and technologies
to enhance data engineering efficiency and capabilities.
Ensure compliance with
healthcare data security and privacy standards
(HIPAA, PHI/PII handling).

Required Skills & Experience

Expertise in
Azure data ecosystem
ADF, Synapse Analytics, Data Lake Storage, Azure SQL, Power BI integration.
Proven experience in
data modelling
,
data warehousing
, and
ETL/ELT pipeline development
.
Strong understanding of
data security
,
governance
, and
compliance
frameworks, especially in healthcare environments.
Proficiency in
Python
,
SQL
, and
PySpark
.
Experience in
CI/CD for data pipelines
(e.g., Azure DevOps, GitHub Actions).
Strong communication and stakeholder management skills ability to translate business needs into technical design.

Preferred Qualifications

Prior experience working in
Healthcare, Life Sciences, or Pharma
domains.
Familiarity with
FHIR data standards
, HL7, or other healthcare data formats.
Experience with
Snowflake
,
Redshift
, or other modern cloud DWH solutions.
Knowledge of
data observability
tools and
real-time data streaming
(Kafka, Event Hubs).
Relevant certifications:
- Microsoft Certified: Azure Data Engineer Associate / Azure Solutions Architect Expert
- Databricks Certified Data Engineer Professional

Education

Bachelor s or master s degree in computer science
, Information Systems, Data Engineering
, or related field.

EXPERIENCE

12-14 Years

SKILLS

Primary Skill: Data Engineering
Sub Skill(s): Data Engineering
Additional Skill(s): ETL, synapse, databricks, Azure Datalake, Azure Data Factory

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