Solutions Architect( Data & Open Source )

About Us:

ITC Infotech is a leading global technology services and solutions provider, led by Business and Technology Consulting. ITC Infotech provides business-friendly solutions to help clients succeed and be future-ready, by seamlessly bringing together digital expertise, strong industry specific alliances and the unique ability to leverage deep domain expertise from ITC Group businesses. We provide technology solutions and services to enterprises across industries such as Banking & Financial Services, Healthcare, Manufacturing, Consumer Goods, Travel and Hospitality, through a combination of traditional and newer business models, as a long-term sustainable partner.

Position Overview

We are seeking a Principal Enterprise Solutions Architect – Data & Open Source with deep expertise in open-source data platforms, cloud-native architectures, distributed systems, and AI-led engineering practices .

This is a high-impact, customer-facing architecture role. The successful candidate will serve as a technical visionary and strategic partner to customer engineering leadership while remaining hands-on with architecture, design, engineering standards, and delivery.

You will help modernize legacy batch-oriented data platforms into scalable, event-driven architectures , while introducing AI-enabled engineering practices to improve software development velocity, quality, and reliability.

The ideal candidate combines strong software engineering fundamentals, modern data architecture expertise, cloud-native experience, and excellent customer-facing communication skills .

Key Responsibilities

Strategic Leadership & Customer Vision

• Technical Customer Liaison: Act as the primary technical partner for the customer's engineering leads, effectively communicating architectural vision, aligning technical Roadmaps, and building strong cross-functional relationships.
• Architectural Governance: Establish and champion the enterprise-wide technical standards, design templates, and architecture frameworks. Organize and lead the internal Architecture Community of Practice (CoP) sessions.
• Technology Evaluation: Continuously evaluate emerging open-source technologies, cloud services, and AI frameworks to recommend adoption strategies that optimize scalability, reliability, and cost.

Data Architecture & Engineering

• Pipeline Modernization: Lead large-scale pipeline re-architecture initiatives, converting traditional batch ETL processes into real-time, event-driven architectures using Change Data Capture (CDC) and Kafka Connect.
• Ecosystem Design: Architect, scale, and optimize data lakes and pipelines utilizing modern open-source stacks including Airflow, AWS EKS, PostgreSQL, and specialized search/vector databases.
• Data Governance & Quality: Enforce enterprise-wide schema cataloging using tools like Kafka Schema Registry. Ensure data quality, security, compliance, and governance standards are built natively into all pipelines.

Cloud-Native & AI-Led SDLC

• System Integration: Design robust, scalable, and maintainable Java- and Python-based backend architectures, ensuring seamless integration with data pipelines, APIs, and cloud infrastructure.
• AI-Infused Engineering Productivity: Drive the adoption of AI tools (e.g., GitHub Copilot, Cursor) and LLM-driven test/review generation frameworks to maximize team delivery speed and software quality.
• Spec-Driven Development: Enforce a disciplined development model: Requirements → Specifications → User Stories → Test Cases → Code → CI/CD Deployment .

Delivery Discipline & Operations

• Engineering Rigor: Push engineering teams, project managers, and product owners toward stronger delivery discipline by implementing strict design validation, rigorous code reviews, automated unit/integration testing, and release governance.
• Platform Reliability & Cost Optimization: Proactively troubleshoot and resolve complex, high-priority production incidents. Support ongoing capacity planning and cloud infrastructure cost optimization.
• Agile Collaboration: Lead and participate in agile ceremonies (scrums, reviews, retrospectives), providing clarity on technical blockers, achievements, and technical debt.

Required Qualifications

• Bachelor's or master’s degree in computer science, Software Engineering, or a highly related technical field.
• Overall Professional Experience: Minimum of 12+ years of hands-on experience in software engineering, data platform engineering, and enterprise systems.
• Architectural Leadership: 5+ years of experience in a Principal or Lead Architect role, with a proven track record of designing, deploying, and maintaining production-grade enterprise software architectures.
• Customer-Facing Technical Liaison: 3+ years of experience interacting directly with client stakeholders (Directors, VPs, and Technical Leads) to share architectural vision and translate business requirements into technical specs.
• Core Engineering Stack: 8+ years of deep hands-on development experience in Java, Python, and advanced SQL .
• Modern Data Pipelines & Streaming: 5+ years of hands-on experience with streaming/messaging systems ( Kafka ) and data orchestration tools ( Airflow, dbt ).
• Cloud & DevOps Ecosystems: 5+ years of experience architecting on public cloud environments (with a strong preference for AWS ), utilizing containerization ( Kubernetes, Docker, AWS EKS ) and Infrastructure as Code ( Terraform ).
• AI-Led Engineering (Realistic Market Threshold):1–2 years of practical experience integrating LLM patterns (e.g., LangChain, vector databases) and leveraging AI-assisted coding tools (e.g., GitHub Copilot, Cursor) within the SDLC.

Preferred Qualifications

• Experience modernizing legacy enterprise data platforms .
• Strong understanding of event-driven and distributed systems.
• Experience with data lakes, data platforms, streaming architectures, and cloud-native applications .
• Experience working with open-source technology ecosystems.
• Experience in customer-facing consulting or technology advisory roles.
• Experience working in large enterprise transformation programs.
• Experience with AI/GenAI adoption within enterprise engineering organizations.
• Strong presentation, communication, stakeholder management, and technical leadership skills.

Preferred Certifications

• AWS Certified Solutions Architect – Professional
• Confluent Certified Developer for Apache Kafka
• Equivalent cloud, data engineering, or enterprise architecture certifications.

ITC Infotech is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. ITC infotech is committed to providing veteran employment opportunities to our service men and women.