Role Overview
We are seeking an experienced Data Architect / Senior Data Architect to lead the architecture, design, development, and maintenance of
enterprise-scale data platforms. The ideal candidate will possess strong
expertise in modern data architecture, big data technologies, database
engineering, and data pipeline development, with the ability to solve complex
business problems through scalable and efficient technical solutions.
This is a hands-on architecture role requiring technical leadership
across transactional systems, analytical platforms, batch and streaming data
pipelines, and enterprise data ecosystems.
Key Responsibilities
- Design,
develop, and maintain enterprise-scale data platforms supporting
operational and analytical workloads.
- Analyze
business requirements and translate them into scalable, reliable, and
efficient data architecture solutions.
- Architect
and implement batch and real-time streaming data pipelines for
ingestion, transformation, and delivery of enterprise data.
- Define
and govern enterprise data architecture standards, design patterns, and
engineering best practices.
- Design
and optimize data models, database schemas, storage strategies, and
processing frameworks.
- Work
across transactional and analytical database platforms to ensure
performance, scalability, and maintainability.
- Optimize
complex SQL/NoSQL queries, stored procedures, and database workloads.
- Drive
architecture decisions for distributed data systems, event-driven
architectures, and analytics-serving platforms.
- Support
enterprise reporting and analytics use cases across the data platform
ecosystem.
- Collaborate
with engineering, analytics, product, and business stakeholders to solve
complex data challenges.
- Ensure
platform reliability, security, governance, observability, and performance
optimization.
- Mentor
engineering teams and provide architectural guidance on implementation and
technical decision-making.
Required Technical Skills
Data Architecture & Engineering
- Strong
experience in enterprise data architecture, platform design,
development, and maintenance
- Deep
understanding of data engineering concepts, ETL/ELT frameworks,
distributed systems, and data integration patterns
- Proven
expertise in designing scalable batch and streaming data architectures
Databases & Data Platforms
Strong understanding of both transactional and analytical data
platforms:
Transactional / Operational Databases
Analytical / Big Data Platforms
- Apache
Druid
- Databricks
ecosystem (Delta Live Tables, Unity Catalog)
Expertise in:
- Data
modelling (conceptual, logical, physical)
- Database
design
- Query
optimization
- Schema
design
- Stored
procedure tuning
- SQL
and NoSQL development
Streaming / Data Integration
Hands-on expertise in:
- Apache
Kafka
- Real-time
streaming architecture
- Event-driven
data processing
- Batch
data processing frameworks
Preferred:
- Exposure
to Mage for pipeline orchestration/development
Programming / Platform Skills
Strong working knowledge of:
- Python
- Linux
/ shell scripting
- SQL
- NoSQL
query development
Analytics / Reporting Ecosystem
Exposure to analytics and reporting platforms such as Apache Superset and related BI/data serving tools.
Preferred Skills
- Experience
with enterprise data governance and metadata management
- Exposure
to observability and monitoring for data platforms
- CI/CD
for data engineering deployments
- Understanding
of access control, security, and governance frameworks
- Exposure
to cloud platforms (AWS / Azure / GCP)
Experience
Data Architect
- 8–12
years of experience in data engineering / database engineering / platform
architecture
- 3+
years in architecture or technical leadership roles
Senior Data Architect
- 12+
years of experience in enterprise data engineering / architecture
- 5+
years in architecture leadership roles
- Proven
experience designing and scaling enterprise data platforms
Ideal Candidate Profile
- Strong
analytical and problem-solving skills with business-oriented thinking
- Ability
to bridge business requirements with technical architecture decisions
- Hands-on
technical leader capable of architecture as well as implementation
oversight
- Strong
communication and stakeholder management skills
- Experience
mentoring teams and driving engineering best practices