Job Title: Data Architect
Team: Data Platform, Application & Data
Reports to: Engineering Manager €“ Data Platform, Application & Data
Location: Chennai, Hybrid
Minimum Education: Bachelor€™s Degree or Equivalent Experience
Recommended Tenure: 7+ years in data platform engineering or architecture roles
(including 3+ years in a hands-on architecture role)
Role Summary:
The Data Architect will design, implement, and manage scalable, reliable, and secure data
architectures that power analytics, integrations, and real-time processing across the
organization. As part of the Data Platform team, this role collaborates closely with Solution
Architects, Data Engineers, and cross-functional stakeholders to ensure that data models
and systems are aligned with business needs and enterprise architecture standards.
Key Responsibilities:
Architecture & Design:
ï‚· Translate business and technical requirements into well-defined data models and
architecture specifications.
ï‚· Design and document logical and physical data models, data flow diagrams,
and integration patterns.
ï‚· Align data architecture with application design and system interaction patterns in
collaboration with Solution Architects.
ï‚· Establish and maintain best practices and design standards for relational, NoSQL,
and streaming data solutions.
Solution Delivery & Support:
ï‚· Act as a hands-on architecture lead during discovery, planning, and delivery phases
of data projects.
ï‚· Guide data engineers in implementing solutions consistent with architecture
principles and project requirements.
ï‚· Conduct design and code reviews to ensure solution quality, scalability, and
compliance.
ï‚· Drive platform evolution by defining and enforcing reusable, modular, and scalable
architecture practices.
Data Governance & Quality:
ï‚· Define and enforce best practices for data modeling, data security, and
performance tuning.
ï‚· Maintain consistency in metadata, naming conventions, and data access
standards across environments.
ï‚· Support data privacy, classification, and auditability requirements across integrated
systems.
Cross-Functional Collaboration:
ï‚· Partner with Product Managers, Engineering Leads, DevOps, and Analytics teams to
deliver end-to-end data solutions.
ï‚· Collaborate with Solution Architects to ensure cohesive design and delivery across
application and data domains.
ï‚· Serve as a subject matter expert on data structures, semantics, and lifecycle
management across key business areas.
Key Competencies & Skills:
ï‚· Experience: 7+ years in data engineering or data architecture roles, with at least 3
years in an architecture-focused position.
ï‚· Cloud Platforms: Proven expertise in GCP and/or Azure, with deep understanding of
native data services.
ï‚· Data Technologies: Strong understanding of relational, NoSQL, and object storage
paradigms.
ï‚· Databases: Hands-on experience with Oracle and PostgreSQL; proficiency
in Python preferred.
ï‚· DevOps for Data: Familiarity with infrastructure-as-code (IaC) and CI/CD
pipelines for data engineering.
ï‚· Soft Skills: Excellent communication and stakeholder management skills, with the
ability to lead through influence.
ï‚· Work Ethic: Self-motivated, organized, and capable of managing multiple initiatives
simultaneously.