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For Employers

Data Architect

Vision Beyond Resources India Private Limited

5 - 9 years

12 - 15 Lacs

bengaluru

Posted:5 hours ago| Platform:

Apply

Skills Required

performance tuning data modeling database design analytical olap data processing data quality ssis oltp data architecture

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a highly skilled

Senior Data Architect

to lead the

design, development, and optimization

of scalable data architectures. This role requires expertise in

data modeling, database performance tuning, big data solutions, and ETL pipelines

, ensuring efficient data processing and seamless integration across various platforms.

Key Responsibilities:

Data Architecture Design
Develop and maintain comprehensive
relational, NoSQL, and cloud-based
database architectures, ensuring scalability and high performance.

Advanced Data Modeling
Implement best practices in
dimensional modeling (star, snowflake, galaxy schemas)
, entity-relationship diagrams (ERD), and data normalization/de-normalization for optimized performance.

Database Performance Tuning
Apply advanced techniques like
indexing, partitioning, query optimization, caching, and materialized views
to enhance OLTP and OLAP system efficiency.

ETL and Data Integration
Design and implement
scalable ETL pipelines
for integrating data from diverse sources, leveraging tools such as
SSIS, Apache Spark, and cloud-based data transformation services
.

Big Data Solutions
Architect and implement solutions using
Hadoop, Spark, AWS Redshift, Azure Synapse
, and other big data technologies to efficiently process and analyze vast amounts of unstructured or semi-structured data.

Data Governance and Security
Ensure compliance with
industry standards and regulations
, focusing on
data quality, security, and privacy
.

Cross-Functional Collaboration
Work closely with
data scientists, business analysts, and application developers
to align data architecture with business goals and analytical requirements.

Requirements:

Proven experience in

data architecture and database design

across

relational and NoSQL databases

. Expertise in

data modeling techniques, ETL processes, and performance tuning

. Hands-on experience with

big data technologies

and cloud-based data solutions. Strong understanding of

data governance, security, and compliance

standards. Ability to collaborate effectively with

cross-functional teams

and translate business requirements into technical solutions.

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