Senior Director Data Platform And Engineering
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Key skills for this role
About the Role
A senior leadership role responsible for shaping data infrastructure and engineering systems for enterprise-wide decision-making. The role leads data platform and data engineering teams, driving modernization across cloud infrastructure, data pipelines, and analytics enablement.
Key Skills for This Role
Responsibilities
- Define and execute the strategic direction of enterprise data platform and engineering organizations
- Lead and develop multiple engineering teams through directors, setting vision, priorities, and performance standards
- Own the multi quarter roadmap for enterprise data infrastructure, balancing modernization, stability, security, and enablement initiatives
- Drive large scale platform evolution across Snowflake, AWS, GCP, Airflow, dbt, and ingestion frameworks
- Oversee data architecture strategy, including data lake design, governance frameworks, observability systems, and cost optimization efforts
- Ensure reliability and scalability of enterprise data pipelines powering analytics, reporting, and operational workflows
- Build a strong engineering culture grounded in ownership, accountability, and operational excellence
- Partner with business and technical leaders to translate enterprise needs into scalable data capabilities
- Lead vendor strategy, including build vs buy decisions, contract negotiations, and platform cost optimization
Requirements
- 10+ years of experience in data engineering, data platforms, or analytics engineering roles
- 4+ years in senior leadership (Director level or above)
- Proven experience leading and scaling large engineering organizations (15+ people)
- Strong understanding of modern data stack technologies such as Snowflake, dbt, Airflow, AWS, and GCP
- Experience delivering platform modernization initiatives such as cloud migration, infrastructure redesign, or tool consolidation
- Deep knowledge of data pipelines, ingestion frameworks, data modeling, and analytics enablement practices at enterprise scale
- Demonstrated success in cross functional partnership with business stakeholders
- Strong vendor management experience, including SaaS evaluation, contract negotiation, and cost optimization strategies
- Excellent communication and executive presence
Full Job Posting
Job Description
- This position is posted by Jobgether on behalf of a partner company.
- We are currently looking for a Senior Director, Data Platform & Engineering in United Arab Emirates.
- This senior leadership role sits at the core of a large scale data ecosystem, responsible for shaping the infrastructure and engineering systems that power enterprise wide decision making.
- You will lead and scale two critical engineering pillars—data platform and data engineering—supporting functions such as marketing, finance, product, sales, HR, and customer success.
- The role blends strategic vision with hands on organizational leadership, driving modernization across cloud infrastructure, data pipelines, and analytics enablement.
- You will partner closely with senior engineering leadership to define multi quarter roadmaps, align technical execution with business priorities, and ensure platform reliability, security, and scalability.
- Acting through experienced directors, you will focus on vision setting, prioritization, and enabling high performing teams.
Accountabilities
- Lead and develop multiple engineering teams through directors, setting vision, priorities, and performance standards across data platform and data engineering functions
- Own the multi quarter roadmap for enterprise data infrastructure, balancing modernization, stability, security, and enablement initiatives
- Drive large scale platform evolution across Snowflake, AWS, GCP, Airflow, dbt, and ingestion frameworks, including cloud migration and system consolidation
- Oversee data architecture strategy, including data lake design, governance frameworks, observability systems, and cost optimization efforts
- Ensure reliability and scalability of enterprise data pipelines powering analytics, reporting, and operational workflows across the business
- Build a strong engineering culture grounded in ownership, accountability, and operational excellence, including talent development and organizational design
- Partner with business and technical leaders to translate enterprise needs into scalable data capabilities and measurable outcomes
- Lead vendor strategy, including build vs buy decisions, contract negotiations, and platform cost optimization
Requirements
- 10+ years of experience in data engineering, data platforms, or analytics engineering roles, including 4+ years in senior leadership (Director level or above)
- Proven experience leading and scaling large engineering organizations (15+ people), including leadership through other managers or directors
- Strong understanding of modern data stack technologies such as Snowflake, dbt, Airflow, AWS, and GCP, with the ability to guide architecture decisions
- Experience delivering platform modernization initiatives such as cloud migration, infrastructure redesign, or tool consolidation
- Deep knowledge of data pipelines, ingestion frameworks, data modeling, and analytics enablement practices at enterprise scale
- Demonstrated success in cross functional partnership with business stakeholders, translating ambiguous needs into structured technical solutions
- Strong vendor management experience, including SaaS evaluation, contract negotiation, and cost optimization strategies
- Excellent communication and executive presence, with the ability to present strategy, trade offs, and outcomes clearly
- Experience operating in fast paced, high growth, or transformation environments requiring adaptability and strategic prioritization
Benefits
- Competitive base salary with additional bonus, equity, and performance based compensation opportunities
- Comprehensive health, dental, and vision coverage for employees and families
- Flexible remote work arrangements supporting work life balance
- Generous PTO and paid holidays
- Equity programs and long term incentive opportunities
- Employee wellness initiatives focused on physical, mental, and lifestyle well being
- Exposure to large scale, high impact engineering challenges in a modern data environment
- Opportunities for executive level influence and strategic ownership across enterprise systems
How Jobgether Works
- We use an AI powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the roles core requirements.
- Our system identifies the top fitting candidates, and this shortlist is then shared
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