Position Summary We are seeking an experienced Solutions Architect with 10+ years of experience, to lead the design and implementation of enterprise-scale data architecture, AI-enabled solutions, robotic process automation (RPA), and system integration initiatives. The ideal candidate will possess deep expertise in up-to-date data platforms, cloud technologies, enterprise integration, analytics, and automation frameworks, enabling organizations to accelerate digital transformation and operational efficiency.
Enterprise Data Architecture
Design and define enterprise-wide data architecture and data management strategies.
Develop logical and physical data models supporting business and analytical requirements.
Establish standards, guidelines, and best practices for data architecture and governance.
Create scalable architectures for structured, semi-structured, and unstructured data environments.
AI & Advanced Analytics Enablement
Architect data platforms that support Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics initiatives.
Enable data ingestion, preparation, and processing frameworks for predictive and prescriptive analytics.
Partner with data scientists, business analysts, and engineering teams to operationalize AI solutions.
Design architectures that ensure high data availability, quality, and performance for AI workloads.
RPA & Process Automation Enablement
Define architecture patterns supporting Robotic Process Automation (RPA) initiatives.
Integrate automation platforms with enterprise systems, applications, and data repositories.
Identify and recommend automation opportunities that improve efficiency and reduce manual effort.
System Integration & Data Movement




Design robust integration frameworks connecting enterprise applications, cloud platforms, and third-party systems.
Architect API-led integration solutions and event-driven architectures.
Define approaches for real-time, near-real-time, and batch data integration.
Data Platform & Technology Architecture
Design modern data platforms including data warehouses, data lakes, and lakehouse architectures.
Recommend cloud-native and hybrid data architecture solutions.
Define standards for data storage, processing, orchestration, and reporting capabilities.
Data Governance, Quality & Security
Establish governance frameworks for data ownership, stewardship, lineage, and quality.
Implement architecture patterns that ensure regulatory compliance and information security.
Work closely with security and risk teams to protect enterprise data assets.
Enable monitoring and controls for data quality, consistency, and accessibility.
Contribute to solution estimates, technology evaluations, and implementation planning.

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
Master's degree preferred.
Experience

- 10+ years of experience in data architecture, enterprise architecture, or solution architecture roles.
- Proven experience designing large-scale enterprise data platforms and integration solutions.
- Hands-on experience with cloud-based architectures and modern data ecosystems.
- Experience supporting AI, analytics, automation, and digital transformation initiatives.

Enterprise Data Architecture
Data Warehousing and Data Lake Architectures
Data Modeling and Metadata Management
ETL/ELT and Data Integration Frameworks
Cloud Platforms (Azure, AWS, or Google Cloud)
Artificial Intelligence and Machine Learning Enablement

📌 IT Solution Architect - Hybrid (Noida)
🏢 Anaptyss
📍 Noida