About the Role
We are looking for an experienced Data Solution Architect to lead the design and implementation of scalable, secure, and high-performance data solutions. The ideal candidate will have a strong background in data architecture, cloud platforms, and modern data frameworks, with the ability to guide clients and teams in building next-generation data platforms.
Key Responsibilities
- Lead
end-to-end design and architecture of enterprise-scale data solutions
across cloud and hybrid environments.
- Define
and implement data strategies, governance, and architecture best practices
aligned to business needs.
- Architect
and optimize data pipelines, ETL/ELT frameworks, and real-time data
processing solutions.
- Provide
technical leadership for building data lakes, warehouses, and advanced
analytics platforms.
- Collaborate
with business stakeholders, product owners, and engineering teams to
translate requirements into scalable solutions.
- Evaluate
and recommend tools, frameworks, and cloud-native services for data
integration, storage, and consumption.
- Ensure data
security, compliance, and governance practices are embedded in all
solutions.
- Mentor
teams on modern data architecture patterns including data mesh and
domain-driven data ownership.
- Act
as a trusted client advisor by presenting solution designs,
conducting workshops, and driving architecture discussions.
Requirements
- 15–22
years of IT experience, with a minimum of 5+ years in data
architecture roles.
- Strong
expertise in data processing frameworks and ETL/ELT
pipeline development.
- Proven
experience in architecting and deploying solutions on AWS and
Azure cloud platforms.
- Hands-on
expertise in data integration, real-time streaming, and API-based
data access.
- Proficiency
in data modelling (structured, semi-structured, and
unstructured).
- Deep
understanding of data lakes, data warehouses, and modern data
architecture patterns (data mesh, lakehouse, etc.).
- Experience
with tools such as Apache Airflow, AWS Glue, Databricks, Azure
Synapse, Redshift, or equivalent.
- Knowledge
of data security, compliance, and governance in large-scale
enterprise environments.
- Excellent leadership,
stakeholder management, and communication skills with experience in
client-facing roles.
- Exposure
to AI/ML data pipelines and advanced analytics platforms.
- Experience
in multi-cloud environments and hybrid data architectures.
- Knowledge
of emerging trends in data observability, data fabric, and metadata
management.
Benefits
Standard Company Benefits
Why Join Us?
- Opportunity
to work on cutting-edge enterprise data transformation programs.
- Collaborate
with global clients across diverse industries.
- Be a
thought leader and drive innovation in modern data architecture.
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