Job highlights

- Technical Expertise: Proficiency with AWS Glue,Redshift,S3,Athena,EMR,Lambda,RDS,SQL,and Python

- Required Experience &

Qualifications .

Education: Bachelor s or masters degree in Engineering or Technology ( BE / ME / BTech / MTech )

- adept at driving innovation and maintaining high technical standards

The Principal Architect Data & Analytics will lead the AWS Data Engineering practice, driving strategy, architecture, and implementation of scalable enterprise-level data solutions. Reporting to senior leadership, this role is responsible for establishing and enhancing the company s Data Engineering Services Practice, collaborating with cross-functional stakeholders to deliver impactful technical solutions in a dynamic, fast-paced environment.

Key Responsibilities

- Act as a visionary leader to steer, motivate, and drive exceptional performance in data engagements.

- Conduct proof-of-concept projects to explore strategic opportunities and recommend scalable, flexible, and sustainable solutions with strong ROI .

- Make informed architectural decisions aligned with customer needs and business priorities.

- Guide and mentor engineers, ensuring high standards of code quality through active code reviews.

- Collaborate with sales, pre-sales, and solution teams to develop proposals and strategies that meet performance objectives.

- Partner with marketing and recruitment teams to build brand presence and attract top technical talent.

- Design and implement data lakes , cloud data warehouses , master data management solutions, and data quality assessments.

- Lead the development and management of data infrastructure, ensuring automation, data quality, and integrity.





- Architect scalable and robust data solutions using AWS services aligned with best practices.

- Oversee end-to-end implementation of data engineering projects, ensuring data quality, integrity, and security.

- Drive continuous improvement and innovation by experimenting with emerging tools and technologies in data engineering.

Required Experience & Qualifications

- Education: Bachelor s or masters degree in Engineering or Technology ( B.E. / M.E. / B.Tech / M.Tech ).

- Experience: 15+ years of technical, hands-on experience in the data domain, including at least four end-to-end large-scale data project implementations across multiple geographic regions.

- Leadership: Proven ability to establish and scale a Data Engineering practice, mentor teams, and collaborate with senior stakeholders.

- Technical Expertise: Proficiency with AWS Glue , Redshift , S3 , Athena , EMR , Lambda , RDS , SQL , and Python ; strong understanding of ETL/ELT , data modeling, and data warehousing concepts;

experience with Apache Spark , Hadoop , Kafka , and visualization tools such as PowerBI or Tableau .

- Soft Skills: Strategic thinker with robust analytical, problem-solving, and leadership capabilities; adept at driving innovation and maintaining high technical standards.

Why Consider this Opportunity

- Join a high-growth, category-defining organization in the transformational AI , Decision Science , and Big Data domain.

- Shape the future of the company s Data & Analytics practice and influence enterprise-level data strategy.

- Collaborate with a diverse, dynamic team of technologists passionate about turning data into business value.

- Contribute to large-scale digital transformation initiatives across global industries.

- Benefit from flexible working options that support productivity and work-life balance.

📌 Principal Architect - Amazon Web Services (Mumbai)
🏢 PSS Global
📍 Mumbai