Later is looking to scale creator partnerships and manage social media content and campaigns across all major social and affiliate networks, and is seeking a Staff Data Engineer to design and scale their data platform.
Requirements
- 10+ years of experience in data engineering, software engineering, or related fields.
- Proven experience leading the technical strategy and execution of large-scale data platforms.
- Expertise in cloud technologies (Google Cloud Platform, AWS, Azure) with a focus on scalable data solutions (BigQuery, Snowflake, Redshift, etc.).
- Strong proficiency in SQL, Python, and distributed data processing frameworks (Apache Spark, Flink, Beam, etc.).
- Extensive experience with streaming data architectures using Kafka, Flink, Pub/Sub, Kinesis, or similar technologies.
- Expertise in data modeling, schema design, indexing, partitioning, and performance tuning for analytical workloads, including data governance (security, access control, compliance: GDPR, CCPA, SOC 2)
- Experience with machine learning infrastructure and integrating ML models into data pipelines (preferred)
Responsibilities
- Lead the design and evolution of a scalable data architecture that meets analytical, machine learning, and operational needs.
- Architect and optimize data pipelines for batch and real-time data processing, ensuring efficiency and reliability.
- Implement best practices for distributed data processing, ensuring scalability, performance, and cost-effectiveness of data workflows.
- Define and enforce data governance policies, implement automated validation checks, and establish monitoring frameworks to maintain data integrity.
- Ensure data security and compliance with industry regulations by designing appropriate access controls, encryption mechanisms, and auditing processes.
- Drive innovation in data engineering practices by researching and implementing new technologies, tools, and methodologies.
- Develop reusable frameworks, libraries, and automation tools to improve efficiency, reliability, and maintainability of data infrastructure.
Other
- Ability to lead and influence engineering teams, drive cross-functional projects, and align stakeholders towards a common data vision.
- Experience mentoring senior and mid-level data engineers to enhance team performance and skill development.
- You’re proactive and results-driven, always taking initiative, aligning your actions with company goals, and delivering consistent outcomes.
- Strategic and forward-thinking, you balance immediate needs with long-term opportunities to drive impactful, innovative results.
- You share insights to help the team stay ahead and make informed decisions.
- You bring positivity and resilience to every challenge, tackling obstacles with grit and optimism that inspires those around you.
- You lead with emotional intelligence, building trust, supporting others, encouraging growth, and fostering strong relationships through empathy and collaboration.
