Rockefeller Philanthropy Advisors is seeking a Senior Data Lead/Data Lead to lead the development and optimization of enterprise-scale data solutions. You will drive innovation, set the technical vision for advanced cloud-based data platforms, and balance hands-on technical expertise with strategic leadership to make a direct impact on business outcomes.

What You'll Do

Lead and mentor a team of data engineers, fostering technical growth and collaboration.
Architect, design, and implement scalable data pipelines and processing systems on AWS, GCP, or Azure.
Establish data engineering standards, governance frameworks, and best practices.
Partner with stakeholders to deliver actionable data solutions aligned with business needs.
Drive the technical roadmap for data infrastructure and platforms.
Optimize workflows for reliability, performance, and cost-effectiveness.
Provide leadership in data modeling, ETL/ELT design, and code reviews.
Support pre-sales engagements with technical solutioning and proposal development.
Create reusable frameworks to accelerate delivery and maintain documentation.
Contribute to thought leadership and maintain relevant cloud certifications.

What We're Looking For

Minimum 10 years of experience in data engineering.
2+ years in leadership or engineering management.
Strong expertise in Python and SQL, with experience writing production-grade, scalable code.
Hands-on experience with cloud data platforms (AWS/GCP/Azure), Databricks, Delta Lake, and lakehouse architectures.
Deep knowledge of data warehousing, data lakes, schemas, governance, and performance optimization.
Familiarity with real-time streaming (Kafka, Kinesis) and orchestration tools.
Proven track record of designing enterprise-grade data solutions and integrating pipelines with analytics layers.
Excellent communication and stakeholder management skills, with the ability to explain technical concepts to non-technical audiences.
Experience leading teams in Agile environments and mentoring junior engineers.
Strong problem-solving abilities, business acumen, and adaptability in fast-paced settings.

Nice to Have

Relevant cloud certifications (e.g., AWS Data Analytics, Google Data Engineer).
Awareness of industry regulations such as GDPR, CCPA, or HIPAA.

Technical Stack

Languages: Python, SQL
Platforms: AWS, GCP, Azure
Tools: Databricks, Delta Lake
Streaming: Kafka, Kinesis

Benefits & Compensation

Competitive total rewards package including base salary and short-term incentives.
Fully remote-first environment with global collaboration opportunities.
Comprehensive healthcare coverage, including medical, dental, vision, mental health, and wellness resources.
Retirement planning support (CPF, EPF, company-matched 401(k)).
Generous paid time off and leave allowances.
Opportunities for professional development, certifications, and continuous learning.
Inclusive culture that values diversity, equity, and individual growth.