Data Engineering Manager

Who We Are:
Galaxy is a global leader in digital assets and data center infrastructure delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world and were building the products and services to make that future a reality.

Our institutional digital assets platform spans trading investment banking asset management staking self-custody and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing addressing the growing demand for scalable energy and compute in the U.S.

We work at the intersection of finance and technology helping institutions startups and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI.

Galaxy is headquartered in New York City with offices across North America Europe the Middle East and Asia.

To learn more about our businesses and products visit .

What We Value:

We are a diverse team of free thinkers and fast movers united to help investors and creators energize the global economy. We are looking for individualswhothrive in a culture of builders and overachieversandembrace high performance transparent feedback and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.

• Seek Excellence.
• Be Selective To Be Effective.
• Be Highly Aligned Loosely Coupled.
• Disagree Transparently.
• Encourage Independent Decision-Making.
• Build Dream Teams.

Who We Are:

Galaxy is a global leader in digital assets and data center infrastructure delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world and were building the products and services to make that future a reality.

Our institutional digital assets platform spans trading investment banking asset management staking self-custody and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing addressing the growing demand for scalable energy and compute in the U.S.

We work at the intersection of finance and technology helping institutions startups and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI.

Galaxy is headquartered in New York City with offices across North America Europe the Middle East and Asia.

To learn more about our businesses and products visit .

What We Value:

We are a diverse team of free thinkers and fast movers united to help investors and creators energize the global economy. We are looking for individualswhothrive in a culture of builders and overachieversandembrace high performance transparent feedback and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.

• Seek Excellence.
• Be Selective To Be Effective.
• Be Highly Aligned Loosely Coupled.
• Disagree Transparently.
• Encourage Independent Decision-Making.
• Build Dream Teams.

Who You Are:

Galaxy is hiring aData Engineering Manager to lead and grow our Data Engineering team. This role is ideal for an experienced data engineering professional who has a strong technical foundation and a track record of delivering scalable data platforms in fast-paced environments.
As a Data Engineering Manager you will balance hands-on technical leadership with team management driving execution on key data initiatives while mentoring engineers and improving development practices.

What Youll Do:

• Partner across Galaxys business lines (Trading Custody Asset Management Mining) to build and enhance a reliable and scalable data platform
• Drive execution of the data engineering roadmap in alignment with business priorities
• Lead and mentor a team of data engineers supporting their growth and ensuring high-quality delivery
• Design build and maintain scalable data pipelines (batch and streaming)
• Develop and operate high-throughput low-latency data processing systems
• Work within the Databricks and Spark ecosystem to support large-scale data workloads
• Build and maintain cloud-native data solutions on AWS
• Leverage dbt for transformation data modeling testing and documentation
• Use Airflow (or similar orchestration tools) to manage and schedule data workflows
• Establish and enforce best practices around code quality testing CI/CD monitoring and reliability
• Collaborate closely with product analytics and infrastructure teams to deliver impactful data solutions
• Contribute to technical design decisions and continuously improve system performance and developer productivity

What Were Looking For:

• Bachelors or Masters degree in Computer Science Engineering or related field
• 8 years of experience in data engineering or distributed systems
• 4 years of experience managing or mentoring engineers
• Strong hands-on experience with AWS Databricks/Spark and modern data architectures
• Experience building and operating both batch and streaming data pipelines
• Hands-on experience with dbt for transformations and Airflow (or similar) for orchestration
• Solid understanding of data modeling data quality and production data systems

What We Offer:

• Competitive base salary and discretionary bonus
• Competitive paid time off
• Great office location in central Mumbai (BKC)
• Company-paid health and protective benefits for employees and their eligible dependents
• Free virtual coaching sessions through Headspace
• Opportunities to learn about the Crypto industry
• Smart entrepreneurial and fun colleagues

*Benefits may vary depending on location.

Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age race color creed religion sex or gender (including pregnancy childbirth lactation and related medical conditions) gender identity or gender expression (including transgender status) sexual orientation marital or partnership or caregiver status ancestry national origin citizenship status disability military or veteran status protected medical condition as defined by applicable state or local law genetic information or predisposing genetic characteristic or other characteristic protected by applicable federal state or local laws and ordinances.

We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview please contact