Databricks Jobs in Hong Kong.
All active Databricks roles based in Hong Kong.
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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 we’re 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 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 individuals who thrive in a culture of builders and overachievers and embrace 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:
You're a hands-on data engineer with several years of experience building and operating production data pipelines. You're fluent in Python or Java and comfortable across the modern data stack , AWS, Databricks/Spark, dbt, and Airflow. You care about data quality, write clean and well-tested code, and like owning systems end-to-end. You're curious about crypto and energized by working at the intersection of finance and emerging technology.
What You’ll Do:
- Partner across Galaxy’s business lines (Trading, Custody, Asset Management, Mining) to build and enhance a reliable and scalable data platform
- 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
- Write clean, efficient, and well-tested code, following best practices in software engineering
- Collaborate closely with product, analytics, and infrastructure teams to deliver impactful data solutions
- Contribute to technical design discussions and help improve system performance, scalability, and reliability
- Support production systems by troubleshooting issues and implementing improvements
- 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 of professional experience in data engineering or distributed systems
- Strong hands-on coding experience in Python, Java, or similar languages
- Experience building and operating both batch and streaming data pipelines
- Strong experience with AWS, Databricks/Spark, and modern data architectures
- Hands-on experience with dbt for transformations and Airflow (or similar) for orchestration
- Solid understanding of data modeling, data quality, and production data systems
- Experience working with relational and non-relational databases (e.g., Postgres, SQL Server)
- Familiarity with CI/CD, testing frameworks, and monitoring tools
Bonus Points:
- Experience with dependency injections frameworks, ideally: Spring, Guice, HK2
- Experience with Docker
- 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
- Flexible Time Off (paid)
- Hybrid Working Arrangements
- Company-paid health and protective benefits for employees and their eligible dependents
- Free coaching and counseling sessions through Headspace
- Generous paid Parental Leave
- Free daily snacks in-office and weekly lunches
- 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.
Ready to apply?
Apply to Galaxy
Core Account Executive - Hong Kong
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As an Enterprise Account Executive in Databricks, you are an enterprise sales professional experienced in selling to Enterprise accounts in Greater China region. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will close new accounts while maintaining existing accounts. Along with the chance to close exciting deals and solve meaningful problems.
You will report to the Director of Enterprise Sales.
The impact you will have:
- Present a territory plan within the first 90 days
- Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
- Close both new accounts and existing accounts
- Identify and close quick, small wins while managing longer, complex sales cycles
- Exceed activity, pipeline, and revenue targets
- Track all customer details, including use case, purchase time frames, next steps, and forecasting in Salesforce
- Use a solution-based approach to selling and creating value for customers
- Promote Databricks' enterprise cloud data platform powered by Apache Spark
- Ensure 100% satisfaction among all customers
- Prioritize opportunities and apply appropriate resources
- Build a plan for success internally at Databricks and externally with your accounts.
What we look for:
- Field sales experience within big data, Cloud, and SaaS sales, covering Greater China territory
- Prior customer relationships with CIOs, program managers, and essential decision makers
- Simply articulate intricate cloud technologies
- 7+ years of Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
- Success in closing new accounts while working on existing accounts
- Understanding of Spark and big data is preferable
- Business proficiency in Mandarin/ Cantonese and experience in the GCR territory are required to enable effective collaboration and understanding of client needs. The successful candidate will engage with the customers in Mandarin/ Cantonese to conduct technical and business discussions, address sales challenges, and present clear value propositions and outcomes.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Data Architect
Design the blueprint. Architect the future. Empower data transformation.
The Role
Capco is seeking a Senior Data Architect to lead and deliver complex data architecture initiatives across our financial services clients. In this senior consulting role, you’ll guide clients through their data transformation journeys, defining strategy, designing architecture, and building scalable, cloud-based platforms. You’ll also contribute to shaping Capco’s modern data architecture offerings.
What You’ll Do
- Lead agile consulting projects focused on modern data architecture and cloud transformation
- Define and implement scalable enterprise data strategies across programmes and business units
- Design and deliver data platforms using cloud-native technologies on AWS, Azure, or GCP
- Drive integration of data governance, cataloguing, privacy, and metadata capabilities
- Act as a subject matter expert to clients, presenting technical concepts in a business context
What We’re Looking For
- Proven experience in data architecture, cloud data engineering, and enterprise platform design
- Deep knowledge of modelling practices including contextual, logical, and physical data modelling
- Hands-on experience with cloud-based data ecosystems (AWS, Azure, GCP) and modern data stacks
- Understanding of cloud data migration, data management tools, and security frameworks
- Strong communication skills to engage stakeholders across technical and non-technical teams
Bonus Points For
- Data or cloud architecture certifications (e.g., AWS, Azure, GCP, Databricks)
- Experience in data lake design and large-scale data migrations
- Familiarity with graph computing and semantic data modelling
- Background in Financial Services with stakeholder management in complex environments
- Ability to lead teams and contribute to the development of Capco’s data architecture propositions
Why Join Capco
- Deliver high-impact technology solutions for Tier 1 financial institutions
- Work in a collaborative, flat, and entrepreneurial consulting culture
- Access continuous learning, training, and industry certifications
- Be part of a team shaping the future of digital financial services
- Help shape the future of digital transformation across Financial Services.
We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
Ready to apply?
Apply to Capco
Senior Model Risk Quant Manager (FinCrime AML)
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Who We Are
Job Overview:
Key Responsibilities:
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Lead independent quantitative validation of FinCrime, AML, AI/ML, and Generative AI models across OKX.
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Perform conceptual soundness and data integrity reviews — assess model theory, methodology, assumptions, data quality, lineage, and applicability to crypto-specific risk typologies.
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Perform quantitative model performance testing — back-testing, sensitivity analysis, threshold tuning, drift detection, and outcomes analysis — with additional fairness, explainability, and adversarial robustness assessments for AI/ML models.
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Apply effective challenge to 1LOD model owners and developers; document validation findings, model limitations, and required remediations.
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Author validation reports suitable for governance committees and regulatory inspections.
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Track validation findings through remediation closure; participate in annual and triggered revalidation cycles; contribute to and maintain the enterprise Model Inventory (entry, classification, materiality assessment).
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Ensure validations meet OKX's Global Model Risk Policy and applicable global regulatory obligations — including AI governance frameworks where ML/AI components apply.
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Contribute to the build-out of validation playbooks, model inventory standards (including AI/ML risk tiering), and operational frameworks — including OKX's AI Governance framework — under the direction of the Global Head of MRM.
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Partner with model developers / owners, Compliance, Tech, Internal Audit, and Legal — while preserving organizational independence from model development.
Qualifications:
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Master's or Ph.D. in Quantitative Finance, Statistics, Mathematics, Econometrics, Computer Science, or another quantitative field — or equivalent depth of professional experience.
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8+ years of relevant quantitative experience, of which at least 3 years in independent model validation (2LOD) at a financial institution, fintech, or crypto firm.
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Demonstrated experience validating risk models — such as credit, market, FinCrime, fraud, or AML.
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Hands-on experience validating statistical, machine learning, AI/ML, and Generative AI models — hypothesis testing, performance benchmarking, fairness testing, drift detection, explainability, and adversarial robustness.
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Working knowledge of MRM and AI governance frameworks — SR 11-7 / SR 26-2, EU AI Act, US Treasury FS AI RMF, NIST AI RMF, or equivalent.
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Strong programming proficiency in Python, SQL, and R.
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Experience with cloud / big-data platforms — BigQuery, Snowflake, Databricks, Hadoop/Hive, MaxCompute, or equivalent.
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Excellent written and verbal communication — capable of authoring formal validation reports and presenting findings to senior risk committees, regulators, and external auditors.
Preferred Qualifications:
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Experience working with crypto exchanges, DeFi platforms, or blockchain analytics firms.
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Hands-on experience with AML / FinCrime model validation techniques.
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Hands-on experience with on-chain analytics tooling — Chainalysis, TRM Labs, Elliptic, or equivalent. Experience validating crypto-native risk models.
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Professional certifications: CFA, FRM, CAMS, CCAS (one or more).
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Familiarity with smart contract risk analysis, DeFi protocol risk, and stablecoin flows.
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Experience with Generative AI / Agentic AI model validation under emerging US Treasury FS AI RMF and NIST AI RMF guidance.
Reporting and Location
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Reports to: Global Head of Model Risk Management.
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Location: Singapore or Hong Kong.
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Travel: occasional, primarily to OKX hub offices.
Equal Opportunity Employer
Ready to apply?
Apply to OKX
Who We Are:
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the team:
The OKX Data Team owns and powers the company’s enterprise-wide data ecosystem. We are responsible for the full data lifecycle — from technology selection and architecture design to data ingestion, storage, ETL development, visualization, business intelligence, and advanced data science.
Our team drives end-to-end data ownership across OKX, ensuring that data is reliable, scalable, and actionable. We build the foundational data infrastructure that empowers evidence-based decision-making and continuously enhances the quality of our products and services.
As a Data Engineering Director, you will lead a high-impact team in designing and scaling mission-critical data platforms that serve the entire organization. You will also play a key role in driving the adoption of Agentic AI to elevate how we build, operate, and evolve our Data Engineering capabilities.
Responsibilities:
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Lead and mentor a team of Data Engineers to design and build resilient, scalable, and high-performance data pipelines for both batch and real-time streaming workloads
- Championing Agentic AI adoption across workflows (text-to-SQL agents, automated data quality remediation, self-healing pipelines etc.)
- Defining best practices, guardrails, and evaluation frameworks for safely deploying AI agents in the data lifecycle
- Architect and implement robust Data Warehouse and Data Mart solutions, including data modeling and ETL pipeline development
- Design, build, and maintain analytics-ready Data Marts using best-practice dimensional modeling techniques (star and snowflake schemas)
- Define and implement cloud-based data infrastructure using industry-standard technologies and modern architectural principles
- Drive technical excellence and delivery across mission-critical projects in a fast-paced, high-growth environment
- Partner closely with cross-functional teams to translate business requirements into scalable data solutions
Requirements:
- At least 8 of more years of experience in a Data Engineering, Data Warehousing or Data Mart related field
- Practical experience in building offline and real-time Data Warehouses
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Familiarity with Data Warehouse Modelling theory and experience in Data Warehouse Model Design, plus an in-depth understanding of Data Warehouse systems, and experience supporting real-world business scenarios
- Familiarity with Agentic AI frameworks (LangChain, LlamaIndex, AutoGen, etc.) and productionising them in a data context
- Experience building AI-powered data tools — NL query interfaces, automated anomaly remediation agents, intelligent data observability
- Hands-on experience applying Agentic AI to data engineering (text-to-SQL, LLM-powered remediation, self-healing pipelines, automated metadata/lineage management and more)
Good to have:
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Familiarity with various big data architectures, especially Alicloud DataWorks/MaxCompute, AWS Spark, Databricks, and StarRocks/Doris
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Experience in R&D of real-time big data systems and real-time data warehouses
- Experience in building Data Platforms such as User Profiling, Risk Control Systems, and Indicator Systems
- Prior experience managing a team of Software Engineers/Data Engineers
Perks & Benefits:
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Competitive total compensation package
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L&D programs and Education subsidy for employees' growth and development
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Various team building programs and company events
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Wellness and meal allowances
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Comprehensive healthcare schemes for employees and dependants
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More that we love to tell you along the process1
Disclaimer: Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong.
Ready to apply?
Apply to OKX