Data Engineer, Analytics (Technical Leadership)

Meta Careers; San Francisco (CA); On-site; USD 253,000 - 314,000; Full time

Job summary

Meta seeks a Data Engineer, Analytics (Technical Leadership) to lead the data foundation across platforms, partnering with Data Scientists, PMs, and Engineers. You will own data architectures for large-scale projects, design data models and visualizations, and drive improvements to data pipelines and governance.

This role emphasizes cross-functional impact and mentoring. The position aligns with Meta's mission to scale data infrastructure for adjacent products and user experiences, while

Qualifications

• 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.

Responsibilities

• Proactively drive the vision for data foundation and analytics across platforms.
• Conceptualize and own the data architecture for multiple large-scale projects.
• Design, build, and launch data models and visualizations for multiple domains.
• Optimize pipelines, dashboards, frameworks, and systems for faster development.
• Mentor team members and collaborate with product managers and software engineers.

Skills

SQL

ETL design

Object-oriented programming

Schema design

Dimensional data modeling

Data analysis

Tools

Python

MapReduce

MPP systems

Job description

Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world. On the Data Engineering Team, our mission is to support these products both internally and externally by delivering the best data foundation that drives impact through informed decision making. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.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.Data Engineer, Analytics (Technical Leadership) 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 visionConceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systemsCreate and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolveBuild cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needsDefine and manage SLA for all data sets in allocated areas of ownershipDetermine 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 ownershipDesign, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domainsSolve our most challenging data integrations problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sourcesAssist in owning existing processes running in production, optimizing complex code through advanced algorithmic conceptsOptimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifactsInfluence product and cross-functional teams to identify data opportunities to drive impactMentor team members by providing actionable feedback and fostering a culture of continuous improvementMinimum Qualifications:12+ years of experience in the data warehouse space12+ years of experience in custom ETL design, implementation, and maintenance12+ years of experience with object-oriented programming languages12+ years of experience with schema design and dimensional data modeling12+ years of experience in authoring SQL statementsExperience analyzing data to identify deliverables, gaps and inconsistenciesExperience managing and communicating data warehouse plans to internal clientsPreferred Qualifications:Knowledge and practical application of PythonExperience influencing product decisions with dataExperience 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 systemDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience driving projects independently across distributed or global teams, coordinating across time zones and stakeholdersAbout Meta:Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].$253,000/year to $314,000/year + bonus + equity + benefitsIndividual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.