Data Architect

Intellics Global Services Mumbai; Mumbai; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Intellics Global Services Mumbai seeks a senior data architect to lead enterprise-scale Lakehouse design and delivery. You will drive architecture decisions, mentor teams, and collaborate with clients and partners to align solutions with strategic goals.

Strong experience in data modelling, on-prem Teradata/Talend and data governance is essential. The role emphasizes large-scale migrations, data security and access control, and end-to-end data platform monitoring.

Qualifications

• Extensive data architecture and domain knowledge required for data warehouse, lake and lakehouse architectures.
• Strong background in on-premise data lakehouse deployments and environment sizing/integrations.
• Insurance domain knowledge is a plus.
• Proven data modelling across raw, curated and enriched layers using medallion principles.
• Deep Teradata and Talend experience for on-premise deployments.
• Strong focus on data quality, governance, security, lineage and access control.
• Experience integrating with data access management solutions.
• Experience with large-scale data migrations and quality checks.

Responsibilities

• Design and implement enterprise-scale data Lakehouse solutions using Teradata, Talend and Qlik.
• Drive architectural decisions aligned with RFP requirements and organizational strategy.
• Provide technical leadership and mentorship to development teams and work with technical leads to guide parallelized delivery across multiple tracks on a very tight timeline.
• Lead solution design and optimization initiatives.
• Participate in detailed project planning with the program leads to ensure that tight deadlines are met.
• Lead technical discussions with clients technical and functional leadership as well as consulting partners to present the technical state of the program.

Skills

Data architecture

Data warehouse

Lakehouse design

Insurance domain knowledge

Data modelling

Data quality

Data governance

Data access management

Data migrations

Monitoring tools

Event-driven architecture

Data security

Integration architecture

BI reporting

AI/ML

DevOps

MLOps

Tools

Teradata

Talend

Qlik

Job description

Key Responsibilities

• Design and implement enterprise-scale data Lakehouse solutions using Teradata, Talend and Qlik.
• Drive architectural decisions aligned with RFP requirements and organizational strategy.
• Provide technical leadership and mentorship to development teams and work with technical leads to guide parallelized delivery across multiple tracks on a very tight timeline.
• Lead solution design and optimization initiatives.
• Participate in detailed project planning with the program leads to ensure that tight deadlines are met.
• Lead technical discussions with clients technical and functional leadership as well as consulting partners to present the technical state of the program.

Technical Requirements

• Extensive (at least 10+ yrs) relevant experience in design and development of data warehouse, data lake and data Lakehouse architectures.
• Experience in greenfield data Lakehouse implementations in an on-premise environment including familiarity with environment sizing, system integrations.
• Functional expertise in working for insurance domain is an added advantage.
• Proven experience in data modelling including modelling for raw, validated and enriched layers of a data Lakehouse using medallion architecture principles.
• Strong experience of on-premise deployment using Teradata and Talend. Deep understanding of Teradata architecture and Talend capabilities is very important to drive the program.
• Proven experience in data quality and governance is a must. This includes experience in setting up end-to-end data quality checks, data stewardship processes, data catalog, data security and access control, data lineage etc.
• Experience in integrating with data access management solutions.
• Ability to drive solutions for large-scale data migrations with quality checks and reconciliation.
• Expertise in setting up data platform monitoring tools for monitoring the health and NFRs across data platform including the repository (Teradata), data processing (Talend) and data consumption (Qlik, AI/ML models, data services).
• Understanding of digital event-based architectures for supporting near-real time processing and data services (APIs) will provide a valuable edge.
• Proficiency in data security implementation
• Experience in integration architecture.
• Understanding of data analytics including BI reporting, AI/ML model development, and data services.
• Drive setup and adoption of DevOps, MLOps tools and processes.
• Ability to document in detail about the architecture and low-level design for various components in the solution.