Project Role : Data Architect
Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills : Data Architecture Principles
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: We are seeking a highly skilled Senior Data Engineer / Technical Architect – AWS to lead the design, development, and optimization of scalable data lake and ETL solutions in the AWS ecosystem. Roles & Responsibilities: • Lead the design, architecture, and development of large-scale ETL and data lake solutions using AWS Glue, S3, and related services. • Develop, monitor, and optimize ETL pipelines for multi-source data ingestion, transformation, and integration into centralized data lakes. • Create and manage the AWS Glue Data Catalog, ensuring consistent metadata management, schema evolution, and version control. • Implement data governance, quality checks, and security policies using AWS Lake Formation, IAM, and encryption best practices. • Collaborate with cross-functional teams — including data analysts, scientists, and business users — to translate business needs into scalable technical solutions. • Design and manage CI/CD pipelines for AWS ETL code deployment using GitHub, CloudWatch, and Glue workflows. • Optimize PySpark scripts and ETL jobs for performance, cost efficiency, and scalability using partitioning, parallelism, and compression techniques. • Support downstream analytics and BI platforms by delivering clean, curated, and query-optimized datasets. • Provide technical leadership and mentorship to junior data engineers, ensuring adherence to best practices in design, coding, and documentation. • Ensure data lineage, monitoring, and alerting via AWS CloudWatch and Glue consoles. Professional & Technical Skills: • AWS Data Engineering Services: Glue, S3, Athena, Redshift, Step Functions, Lambda, SNS, IAM, EventBridge, CloudWatch, Lake Formation, Iceberg, CLI. • Programming Languages: Python, PySpark, SQL. • ETL Development: Glue Jobs, Crawlers, Workflows, and Triggers for batch and near-real-time data processing. • Data Lake & Catalog Management: Schema evolution, metadata consistency, partitioning strategies, and cost optimization. • Data Quality & Governance: Validation frameworks, data profiling, lineage, and compliance with enterprise standards. • Integration: Redshift, Athena, QuickSight, and other downstream analytics/BI tools. • Automation & CI/CD: GitHub, Glue workflows, Step Functions, and CloudWatch for orchestration and deployment. • Big Data & IoT: Design and implementation of scalable big data and IoT-based data ingestion pipelines. • Databases: Relational and NoSQL databases, data modeling, and query optimization.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.