Experience: 15–24 years

Location: Bangalore / Hyderabad

Role Summary

We are looking for a seasoned Technical Architect who combines deep hands-on engineering expertise with architectural leadership to build scalable, enterprise-grade data platforms on AWS. This is not a pure oversight role—you will actively contribute to design, development, and optimization while leveraging modern AI tools to accelerate delivery with high quality and governance.

Why This Role Matters

This role is essential to strengthen our AWS data engineering and analytics capabilities, support growing customer demands, and provide technical leadership for delivering scalable and reliable data solutions

What You’ll Do

Design and define enterprise-level data architecture across AWS data platforms, ensuring scalability, security, performance, and alignment with business strategy. Architect, develop, and oversee implementation of data lakes/lakehouse solutions using AWS services such as S3, Glue, Redshift, Athena, EMR, Lambda, and Lake Formation.

Lead the design and development of robust ETL/ELT pipelines (batch and real-time), ensuring high data quality, reliability, and performance optimization.

Define and implement enterprise data models (conceptual, logical, physical), including dimensional modeling (Star/Snowflake schemas) to support analytics and reporting needs.

Translate complex business requirements into scalable technical architecture and actionable data solutions.

Provide hands-on technical leadership in SQL, Python/PySpark, query optimization, and performance tuning for large-scale datasets.

Define and enforce data governance, security frameworks (IAM, encryption, masking), and compliance standards across the data ecosystem.

Guide teams in implementing CI/CD pipelines, Infrastructure as Code (Terraform/CloudFormation), and DevOps best practices for data platforms.

Review solution designs and code to ensure adherence to architectural standards, scalability principles, and best practices.

Collaborate with product teams, and leadership to align data strategy with organizational objectives.





Drive modernization initiatives including migration from legacy/on-prem systems to AWS cloud environments.

Ensure monitoring, logging, observability, backup, and disaster recovery strategies are implemented effectively.

Mentor and technically guide data engineers and BI developers, establishing development standards and reusable frameworks.

Continuously evaluate emerging technologies, BI trends, and AWS innovations to recommend improvements and optimize enterprise data capabilities.

General GenAI-assisted engineering experience is acceptable; specific Copilot experience preferred

Tech Stack Snapshot

Technical Architect – AWS Data Engineering & Analytics Architect | Tableau | Cloud Data Platforms | AI

Must-Have Skills

1. 12+ years of overall IT experience, with 8+ years in Data Engineering & Analytics, including end-to-end data solution design, architecture, and enterprise data platform implementation

2). 6+ years of hands-on experience in AWS data architecture, including Amazon S3, AWS Glue, Redshift, Athena, Lambda, EMR, Lake Formation, Kinesis, and RDS with strong understanding of cloud-native data patterns & SQL development and advanced data modeling 3). Designing and developing ETL/ELT pipelines (AWS Glue, and orchestration tools (Airflow or equivalent))

4). 3+ years of experience in leading data engineering teams as Technical Architect / Lead, providing architecture guidance, code reviews, design standards, and mentoring developers

5). 3+ years of experience in real-time and batch data processing architectures, including streaming frameworks and large-scale data and ingestion and experience in CI/CD

6). Robust understanding of Data Governance, Security & Compliance, including encryption, data masking, metadata management, and access control frameworks

7).



General GenAI-assisted engineering experience is acceptable; specific Copilot experience preferred

Good to Have

– AWS Certifications – Experience with streaming or AI/ML workloads

What Success Looks Like (6–12 Months)

Designed and implemented scalable AWS-based data architecture and pipelines. Delivered high-quality data solutions that meet customer and business requirements.

Provided technical guidance and mentoring to engineering teams & support onsite leads

Why Join WinWire: Your Path to Professional Excellence in the Age of AI

As an Employer of Choice, WinWire offers an exceptional workplace culture, industry recognition, and an unwavering commitment to employee growth. Here is why top talent chooses us:

- AI-First. Globally Recognized: Honored at the World Economic Forum in Davos for our pioneering "Agentic AI @ Scale" work, cementing our position as a forward-thinking, AI-first services firm shaping the future of enterprise technology.
- Microsoft Gold Standard: A 6x Microsoft Global Partner of the Year Winner/Finalist — reflecting our consistent delivery of industry-leading solutions and our deep, trusted partnership with Microsoft.
- Joining the NTT DATA Family: WinWire (Part of NTT DATA), a $30 billion global leader in AI, digital business, and technology services. This means greater career stability, broader client exposure, and access to a vast landscape of opportunities across a truly global organization.
- Award-Winning Culture: Certified as a Best Place to Work® four times, our workplace culture is not just a talking point — it is a proven, recognized commitment to creating an environment where people genuinely thrive.
- People-First Environment: With a strong 4.0 Glassdoor rating, our employees speak for themselves. We prioritize wellbeing, inclusivity, and a culture of respect at every level of the organization.
- Invest in Your Growth: From continuous learning programs to structured career development pathways, we equip our team with the skills, tools, and opportunities needed to grow and lead in the age of AI.

📌 Technical Architect – Data Engineering & Analytics (AWS) (Bengaluru)
🏢 WinWire
📍 Bengaluru