Company Name: VARITE India Private Limited

About The Client

An American multinational information technology infrastructure services provider that designs, builds, manages and develops large-scale information systems. It is currently the world's largest IT infrastructure services provider and the fifth-largest consulting provider.

About The Job:

- This role is responsible for shaping and owning the enterprise data platform architecture across on-premises, hybrid, and cloud environments.

- It focuses on modernizing and consolidating data engineering, analytics, BI, data science, and AI/ML platforms while establishing scalable, secure, governed, and reusable architecture patterns.

- The role also enables a future-ready data foundation to support Dataiku-based analytics, AI/ML workflows, Agentic AI use cases, and regulatory reporting.

Essential Job Functions:

- Define enterprise data platform strategy, target-state architecture, roadmaps, standards, and reusable reference patterns.

- Rationalize and modernize legacy/overlapping tools such as SAP BODS, Oracle Data Integrator, BusinessObjects, Qlik, Power BI, MicroStrategy, and multiple Dataiku instances.

- Architect robust data pipelines for batch, API-based, event-driven, and cloud-native data integration.

- Design scalable data engineering patterns using SQL, Python, ETL/ELT, APIs, data warehouse, data lake, and cloud-native services.

- Enable data science and AI/ML workflows including Dataiku, model lifecycle, feature engineering, model monitoring, traceability, and explainability.

- Define architecture for governed Agentic AI capabilities that consume trusted enterprise data and integrate with business/workflow systems.

- Establish data governance standards for data quality, lineage, metadata, access control, privacy, retention, auditability, and compliance.

- Drive cloud adoption through Azure landing zone-aligned data architecture, Azure-native monitoring, automation, and security controls.

- Embed DevSecOps, CI/CD, Infrastructure as Code, golden paths, and self-service patterns for data platform delivery.

- Partner with data engineers, data scientists, application teams,



security architects, cloud architects, and business stakeholders.

Qualifications

- Data Engineering: SQL, Python, ETL/ELT, APIs, batch processing, data pipelines, data quality, metadata, and lineage.

- Cloud & Azure: Azure Landing Zone, Azure Monitor, Application Insights, Azure Resource Graph, Azure Policy, Azure Automation, Logic Apps, Functions, and Azure DevOps.

- Databases: Oracle, Oracle ExaCC, SQL Server, PostgreSQL, MySQL, and MongoDB.

- Analytics & BI: Power BI, MicroStrategy, BusinessObjects, QlikView, Qlik Sense, and enterprise reporting platforms.

- Data Science & AI/ML: Dataiku, AI/ML workflows, predictive analytics, model lifecycle, MLOps concepts, and Agentic AI enablement.

- DevOps & Platform Engineering: GitLab, Jenkins, Terraform, Backstage IDP, CI/CD pipelines, Nexus, Azure Artifacts, and Azure Container Registry.

- Security & Governance: RBAC, encryption, access control, GDPR, auditability, policy-as-code, compliance evidence, and secure-by-design architecture.

- Observability: ELK/Elastic Stack, OpenTelemetry, Azure Monitor, AIOps, Kyndryl Bridge, Zabbix, and ServiceNow integration.

- HOPEX enterprise architecture tool experience

Required Experience

- 15-18+ years of experience in data architecture, enterprise architecture, data engineering, analytics, or cloud platform architecture.

- 10+ years in a senior architect or enterprise architect role leading complex data platform transformation initiatives.

- Proven experience designing enterprise-scale data platforms across on-premises, hybrid, and Azure cloud environments.

- Strong experience in data platform modernization, tool rationalization, cloud migration, governance, and operating model transformation.

- Experience in regulated industries such as banking,



financial services, insurance, or other compliance-heavy environments.

- Strong stakeholder management, architecture governance, technical leadership, and mentoring capabilities.

Preferred Qualifications

- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, or related discipline.

- Certifications such as TOGAF, Azure Solutions Architect, Azure Data Engineer, Azure AI Engineer, or equivalent are preferred.

- Exposure to regulatory requirements such as GDPR, CSSF, ECB, SWIFT, audit controls, and operational resilience is desirable.

How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India – VARITE.

Unlock Rewards: Refer Candidates and Earn.

If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral program, where you'll receive a one-time referral bonus based on the following scale if the referred candidate completes a three-month assignment with VARITE.

Experience Level Bonus Referral:

0-2 years

INR 5,000

2-6 years

INR 7,500

6+ years

INR 10,000

About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services.

Equal Opportunity Employer:

VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.

📌 Enterprise Architect – Data (Bengaluru)
🏢 VARITE
📍 Bengaluru