We are seeking an exceptional Head of Data Engineering to build and lead our data organization from the ground up. This is a unique opportunity for a visionary leader who has successfully built data infrastructure and teams from zero to production-scale operations. You will be responsible for architecting our entire data ecosystem, establishing best practices, and creating a world-class data engineering organization that enables data-driven decision-making across the company.
Role & Responsibilities
Strategic Leadership
Build and scale the data engineering organization from inception to a fully operational, high-performing team
Define and execute the data strategy aligned with business objectives and long-term growth
Establish the technical vision and roadmap for data infrastructure, tools, and platforms
Partner with executive leadership to identify data opportunities that drive business value
Build strong relationships with stakeholders across Engineering, Product, Analytics, Data Science, and Business teams
Data Infrastructure & Architecture
Design and implement a scalable, reliable data lake architecture from scratch
Build robust ETL/ELT pipelines for data ingestion, transformation, and distribution
Establish data orchestration frameworks for workflow management and scheduling
Architect solutions for real-time and batch data processing at scale
Ensure high availability, performance, and cost optimization of data systems
Data Governance & Compliance
Implement comprehensive data governance frameworks and policies
Establish data quality standards, monitoring, and validation processes
Design and enforce data security, privacy, and compliance measures (GDPR, CCPA, etc.)
Create data cataloging and metadata management solutions
Build data lineage and audit trail capabilities
Platform & Tools
Evaluate, select, and implement modern data platforms (Snowflake, Databricks, Google BigQuery)
Build self-service data capabilities for analytics and data science teams
Establish CI/CD practices for data pipelines and infrastructure as code
Implement monitoring, alerting, and observability for data systems
Drive adoption of best-in-class data tools and technologies
Team Building & Management
Recruit, mentor, and develop a high-performing data engineering team
Foster a culture of technical excellence, collaboration, and continuous improvement
Establish career development frameworks and growth paths for team members
Promote best practices in software engineering within the data context
Build strong cross-functional relationships and promote data literacy
Analytics & Data Science Enablement
Partner with analytics teams to deliver reliable, accessible data products
Enable data science initiatives through robust feature engineering and ML infrastructure
Build data models and transformations that support business intelligence needs
Ensure data democratization while maintaining governance and security
Requirements
Experience
8+ years of experience in data engineering, with at least 5 years in leadership roles
Had leadership roles in ****+ people companies
Proven track record of building a data organization from zero to production scale
Demonstrated experience establishing data lakes, ETL pipelines, and data infrastructure from scratch
History of successfully managing complex data projects with multiple stakeholders
Experience scaling data systems to handle significant data volume and user growth
Technical Expertise
Expert-level experience with at least one of: Snowflake, Databricks, or Google BigQuery (required)
Strong software engineering fundamentals
: data structures, algorithms, design patterns, testing
Proficiency in modern programming languages (Python, Scala, Java, or Go)
Deep understanding of distributed systems and big data technologies (Spark, Kafka, Airflow, Airbyte,dbt)
Experience with cloud platforms (AWS, GCP, or Azure) and infrastructure as code
Strong SQL skills and deep understanding of database systems (relational and NoSQL)
Experience with data modeling, dimensional modeling, and data warehousing concepts
Data Governance & Compliance
Hands-on experience implementing data governance frameworks
Understanding of data privacy regulations (GDPR, CCPA, HIPAA, etc.)
Experience with data security, access controls, and compliance auditing
Knowledge of data quality frameworks and data observability tools
Leadership & Communication
Excellent stakeholder management skills across technical and non-technical audiences
Proven ability to translate complex technical concepts into business value
Strong written and verbal communication skills
Experience building and mentoring high-performing engineering teams
Track record of fostering inclusive, collaborative team cultures
Preferred Qualifications
Experience with real-time data streaming and event-driven architectures
Knowledge of machine learning operations (MLOps) and feature stores
Familiarity with data mesh or domain-driven data architecture patterns
Experience with DataOps practices and automation
Contributions to open-source data projects
Advanced degree in Computer Science, Engineering, or related field
Experience in [relevant industry: fintech, healthcare, e-commerce, etc.]
Technical Skills
Must Have:
Modern Data Warehouses: Snowflake, Databricks, or Google BigQuery
Programming: Python, SQL, and at least one other language (Scala, Java, Go)
ETL/ELT Tools: dbt, Airflow, Fivetran, or similar
Cloud Platforms: AWS, GCP, or Azure
Big Data: Apache Spark, Kafka, or similar
Version Control: Git and CI/CD practices
Data Modeling: Star schema, Data Vault, dimensional modeling
Nice to Have:
Container orchestration: Kubernetes, Docker
Infrastructure as Code: Terraform, CloudFormation
Stream Processing: Kafka Streams, Flink, Spark Streaming
Data Quality: Great Expectations, Monte Carlo, or similar
BI Tools: Tableau, Looker, Power BI
ML Platforms: SageMaker, Vertex AI, MLflow
GoGlobal is the leading professional services company to guide, establish and manage global operations with compliance and confidence. We bring the human touch to entering new markets and consolidating vendors through a single point of management. With a presence in over 140 countries on six continents and growing, we make running a global business easy.
Business & Corporate Services provided:
Entity Solutions: Entity establishment, Corporate secretarial & directorship services, Domicile services, Dormancy/Liquidation
HR Solutions: Global recruitment, Employer of Record (EOR), Agent of Record (AOR), Global benefits, Global payroll, International HR Consulting
Finance Solutions: Accounting & Tax
For more information, please visit GoGlobal.com
OVERVIEW
We Measure Success by Results, Not Hours Worked
No timesheets.
At GoGlobal, we give you the autonomy to make decisions that create real impact. We prioritize results over hours worked, focusing on quality of outcomes rather than tracking time.
As a privately owned company, we are free from the pressures of venture capital or private equity investors demanding exponential growth in unreasonable time frames.
Sometimes, things just take time to do well. In our business, delivering great results is a process - and we're committed to doing it right.
We are not for sale. We believe that financial success is a natural outcome of our work, not the primary goal. Unlike many investors who view money as a goal, our focus is on long-term growth and sustainable success.
We are a global team, built for those who want to go further. Here's what your career at GoGlobal looks like:
A company small enough for your voice to be heard meaningfully, yet large enough to make a global impact
Collaborating with a diverse, global and supportive team
Built for the long-haul - no VC or PE pressure, just a focus on sustainable growth
WHY WE ARE DIFFERENT
We Make Growing Your Career Possible
We operate with the benefits of a partnership without the complexities of a partnership.
Our hybrid partnership-corporate model offers all employees the opportunity to become a partner, while maintaining a streamlined corporate structure so that decisions are made quickly
We do not offer equity plans.
As we are not for sale and are not chasing an exit, "stock options" hold little value in our business model. Instead, we provide opportunities for outstanding employees to make partner and share in the profits. We believe it's better to build lasting value than to chase a one-time payout
We prioritize organic and sustainable growth.
Expanding operations quickly by way of mergers and acquisitions might seem appealing, but the reality is integrating diverse cultures can be challenging. We're proud of our own culture and prefer to grow it our way
We're global.
We offer career opportunities across the world-whether it's new job roles or international locations
English is our official language, but for many, it's our second language.
We embrace this and find it rewarding communicating with colleagues from all over the world
We are not a family.
We operate more like a high-performing sports team where each individual's contribution is crucial to our collective success
We keep things simple and collaborative.
Our structure makes it easy for teams to work together across borders so we can serve our clients with global needs more effectively. Unlike big, siloed companies, we work seamlessly to handle international deals without the headaches of territorial ownership
We believe in transparency and trust.
Every month, we share our financials with the team so everyone knows where we stand and what's coming next. It's all about open communication, building trust and empowering every individual to be part of our journey. We don't tell you what to think - we provide the information you need to make your own informed decisions
We believe flexibility drives success.
Our company is built on trust, and that's why we embrace fully remote work, and hybrid options in some countries. Forget rigid office routines - it's old school! This flexibility fuels productivity, strengthens our workforce, and ensures we remain agile in a fast-changing world.
Ready to take the next step in your career with us? Apply now!
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