Engineering Lead - Data Infrastructure

Engineering Lead - Data Infrastructure, VP

Job Description:

Job Title: Engineering Lead - Data Infrastructure

Location: Pune, India

Corporate Title: VP

Role Description

DWS’s data infrastructure team provides the secure, scalable and trustworthy foundation for storing, processing and distributing critical enterprise data. As Engineering Lead for data infrastructure, you drive the design, built, and continuous improvement of our cloud-based and on-prem data platforms and the pipes between them. You’ll align closely with the CTO Data and lead a high-impact squad, setting technical direction, mentoring team members and contributing directly to architecture and code.

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

Your key responsibilities

• Lead, grow, and mentor a high impact data platform engineering team
• Hands-on contribution into software development efforts
• Own end-to-end architecture and design of a variety of data platform components – all the way from data ingestion to distribution
• Model, test, collaborate (to understand requirements, create stories, and design solutions), implement and help test requirements
• Contribute to the development of testing and quality control processes and policies for the organization
• Collaborate with architects, security engineers, control functions, the Chief Data Office and other stakeholder to improve compliance, security posture and reliability
• Work with product owners to translate product vision and demand into platform capabilities

Your skills and experience

• 12+ years of experience in platform-, data engineering or an adjacent field, preferably with strong focus on enterprise data platforms. Degree in Computer Science, Engineering, Information Technology, or a related field is a plus
• Very strong expertise in the modern data stack, including cloud-based data platforms such as GCP BigQuery, Snowflake, and the ecosystem around them
• Extensive experience in operating production cloud infrastructure, especially Google Cloud, in complex enterprise environments
• Proficiency with IaC (e.g. Terraform), automation tooling, orchestration tooling (e.g. dbt, Airflow)
• Good understanding of data governance, security, and IT compliance in highly regulated environments
• Very good programming skills in Python and/or Java
• Experience with development utilizing software development life cycle (SDLC) tools including Git, JIRA, Artifactory, Jenkins/TeamCity, OpenShift
• Experience in growing and leading highly performing engineering teams
• Strong problem-solving skills, strategic thinking and attention to detail
• Fluent in English (written and spoken)

How we’ll support you

• Training and development to help you excel in your career
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.htm

We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives. We call this #ConnectingTheDots.

Experience Level

Senior Level