We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support building out a great platform for the future of computing. In this role, you will observe a direct correlation between your work, company growth, and user satisfaction. You'll collaborate with experienced engineers, data scientists, and product managers, work with large-scale, diverse data sets, use modern data engineering tools and frameworks, and experience your efforts affecting products and people on a regular basis. Move these qualification requirements to MINIMUM_QUALIFICATION or PREFERRED_QUALIFICATIONS.
Responsibilities
Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross platform components across Instagram, and define and execute on plan to achieve that vision
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
• Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs
• Define and manage SLA for all data sets in allocated areas of ownership
• Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
• Design, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domains
• Solve our most challenging data integrations problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
• Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
• Influence product and cross-functional teams to identify data opportunities to drive impact
• Mentor team members by providing actionable feedback and fostering a culture of continuous improvement
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 12+ years of experience in the data warehouse space
• 12+ years of experience in custom ETL design, implementation, and maintenance
• 12+ years of experience with object-oriented programming languages
• 12+ years of experience with schema design and dimensional data modeling
• 12+ years of experience in authoring SQL statements
• Experience analyzing data to identify deliverables, gaps and inconsistencies
• Experience managing and communicating data warehouse plans to internal clients
Preferred Qualifications
• Knowledge and practical application of Python
• Experience influencing product decisions with data
• BS/BA in Technical Field, Computer Science or Mathematics
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience working with either a MapReduce or an MPP system
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience driving projects independently across distributed or global teams, coordinating across time zones and stakeholders
