Requirements

Job Title: Data Architect

Experience:
10+
Years (can be adjusted)
Location:
[Onsite / Hybrid / Remote]
Employment Type:
Full-time

Job Summary

We are looking for an experienced
Data Architect
to design, build,
and govern enterprise-level data architecture that supports analytics,
reporting, and advanced data use cases. The role requires close collaboration
with business, engineering, and analytics teams to ensure scalable, secure, and
high-performing data solutions aligned with organizational goals.

Key Responsibilities

Data Architecture & Strategy

·
Define and maintain
enterprise data
architecture
, standards, and best practices.

·
Design
end-to-end data solutions
including data ingestion, storage, processing, and consumption layers.

·
Create conceptual, logical, and
physical
data models
.

Data Platforms & Integration

·
Architect and oversee
data lakes,
data warehouses, and lakehouse
solutions.

·
Design data integration patterns for
batch and real-time processing.

·
Ensure seamless integration across
multiple source systems and downstream consumers.

Cloud & Technology Leadership

·
Lead data architecture on
cloud
platforms
(AWS / Azure / GCP).

·
Evaluate and recommend tools and
technologies (ETL, orchestration, streaming, BI).

·
Optimize performance, scalability, and
cost efficiency of data platforms.

Governance, Security & Quality

·
Define and enforce
data governance,
lineage, metadata, and quality standards
.

·
Ensure compliance with security,
privacy, and regulatory requirements.

·
Collaborate with security teams on
data access and protection strategies.

Stakeholder Collaboration & Leadership

·
Work with business leaders to
translate requirements into data solutions.

·
Guide and mentor data engineers and
analysts on architecture best practices.

·
Participate in architecture review
boards and technical decision-making.

Required Skills & Qualifications

Technical Skills

·
Strong expertise in
data modeling
(ER, dimensional, star/snowflake).

·
Advanced
SQL
and database
design experience.

·
Hands-on experience with
data
warehousing and data lake architectures
.

·
Proficiency in
cloud data services
(e.g., Azure Synapse, AWS Redshift, Snowflake, BigQuery).

·
Experience with
ETL/ELT tools
(ADF, Informatica, Glue, dbt, etc.).

·
Knowledge of
streaming platforms
(Kafka, Kinesis, Event Hubs).

Architecture & Frameworks

·
Experience with
data architecture
frameworks
(TOGAF, DAMA-DMBOK preferred).

·
Strong
un
derstanding of metadata management and data lineage.

·
Tera Data

Soft Skills

·
Strong communication and stakeholder
management skills.

·
Ability to influence technical and
non-technical audiences.

·
Strategic thinking with hands-on
problem-solving ability.

Education

·
Bachelor’s or Master’s degree in
Computer
Science, Engineering, or related field
.

Nice to Have

·
Cloud certifications (AWS / Azure /
GCP).

·
Experience with
BI tools
(Power
BI, Tableau, Looker).

·
Exposure to
ML/AI data platforms
.

·
Experience in regulated industries
(banking, healthcare, etc.).

·
Experience in Teradata