VP, Data Engineer

Galaxy

India

On-site

INR 2,500,000 - 4,000,000

Full time

47 hours ago
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Benefits offered by this job

Competitive salary and bonus
Health benefits for employees and deps
Coaching sessions

Job summary

Galaxy Digital Inc. in India seeks an experienced data/platform engineer to own and operate production data platforms. You will build tooling and maintain reliability with Python or Java, AWS, Kubernetes, Terraform, Kafka, and Databricks.

Collaborate with product analytics and infrastructure teams, implement dbt and Airflow, and push for AI-powered improvements. This role offers a competitive salary, benefits, and growth in the crypto-focused technology space.

Qualifications

  • 5+ years building data or platform engineering systems in production.
  • Strong coding skills in Python or Java.
  • Experience operating production data platforms on AWS and supporting downstream teams.
  • Hands-on with Kubernetes and Terraform.
  • Experience running Kafka in event-driven systems.
  • Familiar with Databricks/Spark, dbt, and Airflow; data modeling knowledge.
  • Comfortable with CI/CD, testing frameworks and observability tooling.

Responsibilities

  • Build and maintain tooling and infrastructure enabling pipelines.
  • Own monitoring, alerting, and dataops practices for reliability.
  • Operate Kafka as the event broker for cross-team architecture.
  • Deploy and maintain infrastructure components with Terraform and Kubernetes.
  • Run Databricks/Spark workloads on AWS and support cloud services.
  • Support dbt transformations and Airflow orchestration.
  • Collaborate with product, analytics, and infra teams on platform improvements.
  • Troubleshoot production issues and drive fixes.
  • Champion AI adoption to improve performance and outcomes.
  • Leverage AI tools to boost productivity and decision-making.

Skills

Python
Java
AWS
Kubernetes
Terraform
Databricks/Spark
dbt
Airflow
Kafka
CI/CD
Observability
Data modeling

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Kubernetes
Terraform
Databricks/Spark
Airflow
dbt
Kafka
PostgreSQL/SQL Server

Job description

Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America.

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

Additional information about Galaxy's businesses and products is available on www.galaxy.com .

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.

  • Be Selective To Be Effective.
  • Be Highly Aligned, Loosely Coupled.
  • Disagree Transparently.
  • Build Dream Teams.
Who You Are:

You're a hands-on engineer with several years of experience building and operating production data platforms. You're fluent in Python or Java and comfortable across the modern data stack — AWS, Kubernetes, Terraform, Kafka, and Databricks/Spark. You care about reliability and developer experience, write clean and well-tested code, and like enabling other teams to move fast on infrastructure you own. You're curious about crypto and energized by working at the intersection of finance and emerging technology.

What You’ll Do:
  • Build and maintain the tooling and infrastructure that lets data champions ship pipelines autonomously
  • Own monitoring, alerting, and dataops practices that keep the platform reliable as it scales
  • Operate Kafka as the message broker powering cross-team event-driven architecture
  • Deploy, own and maintain infrastructure components (services, OSS helm charts) with Terraform and Kubernetes
  • Run high-throughput, low-latency processing on Databricks/Spark and cloud-native services on AWS
  • Support dbt for transformations and Airflow (or similar) for orchestration across the platform
  • Partner with product, analytics, and infrastructure teams on design and delivery of platform improvements
  • Troubleshoo t production issues and drive the fixes
  • Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes.
  • Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work.
What We’re Looking For:
  • Bachelor’s or Master’s degree in Computer Science , Engineering, or related field
  • 5+ years building data or platform engineering systems in production
  • Strong coding skills in Python or Java
  • Experience operating production data platforms on AWS and supporting downstream teams who build on them
  • Hands-on with Kubernetes and Terraform
  • Experience running Kafka (or a similar broker) in event-driven systems
  • Working knowledge of Databricks/Spark, dbt, and Airflow
  • Solid grasp of data modeling, data quality, and relational and non-relational databases (e.g., Postgres, SQL Server)
  • Comfortable with CI/CD, testing frameworks, and observability tooling
Bonus Points:
  • Experience with d ashboarding technologies
  • Experience with streaming engine ( flink , kdb )
  • Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support
  • Experience in Crypto
What We Offer:
  • Competitive base salary and discretionary bonus
  • Company-paid health and protective benefits for employees and their eligible dependents
  • Free virtual coaching and counseling sessions
  • Opportunities to learn about the Crypto industry
  • Smart, entrepreneurial, and fun colleagues
  • Employee Resource Groups

*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 careers@galaxy.com.

GENDER/SEXUAL ORIENTATION

Our company does not discriminate on the basis of sexual orientation, gender identity, or gender expression. But to track the effectiveness of our recruiting efforts and ensure we consider the needs of all our employees, please consider the following optional questions.

Transgender is an umbrella term that refers to people whose gender identity, expression or behavior is different from those typically associated with their assigned sex at birth. Other identities considered to fall under this umbrella can include non-binary, gender fluid, and genderqueer – as well as many more.

Your voluntary cooperation is appreciated. Thank you.

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