Project Role : Custom Software Engineering Lead
Project Role Description : Own the technical direction and architecture of custom software solutions, leading teams through design and delivery. Set development standards and ensure code quality, scalability, and performance aligned to business objectives.
Must have skills : AWS Storage Database
Good to have skills : Apache Administration, Apache Airflow
Minimum 3 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Custom Software Engineering Lead, a typical day involves steering the technical vision and architectural framework for bespoke software projects. This role requires guiding teams through the entire lifecycle of software development, from initial design concepts to final delivery. The position demands a focus on establishing and maintaining high standards for development practices, ensuring that solutions are scalable, performant, and aligned with the strategic goals of the organization. Collaboration with various stakeholders to synchronize technical efforts and business needs is a key aspect of daily activities.

Roles & Responsibilities:
Lead the design, provisioning, and management of cloud storage solutions including AWS S3, EBS, EFS, FSx, and Storage Gateway.
Evaluate and manage third-party or VM-based storage platforms (e.g., NetApp, Pure Storage, vSAN) where applicable.
Design and maintain data pipeline scheduling architectures using Apache Airflow or equivalent tools (Prefect, Dagster, AWS Step Functions).
Oversee Airflow DAG development standards, environment management, and operational health.
Ensure data storage security, encryption at rest and in transit, lifecycle policies, and access controls.
Lead a team of engineers, establish standards, and drive continuous improvement.
Collaborate with data engineering, DevOps, and architecture teams on storage and pipeline requirements.
Conduct capacity planning, storage cost optimisation, and performance benchmarking.
Implement backup, disaster recovery, and archival strategies for cloud storage.
Produce operational runbooks, architecture diagrams, and documentation

Professional & Technical Skills:
Deep expertise in AWS storage services: S3 (policies, lifecycle, versioning, replication), EBS, EFS, FSx, and Storage Gateway.
Hands-on experience with workload scheduling tools, with strong expertise in Apache Airflow (DAG authoring, Airflow administration, scaling).
Understanding of data governance, encryption standards, and storage compliance requirements.
Strong scripting skills in Python or Bash for automation and DAG development.

Additional Information:
- The candidate should have minimum 3 years of experience in AWS Storage Database.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.

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 

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