Be an early applicantLess than 25 applicants
FOX Tech ยท 1 week ago
Principal Engineer
Los Angeles, CA
Full-time
Hybrid
Senior Level
$162K/yr - $216K/yr
10+ years exp
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Responsibilities
Be an expert in the Data Engineering space, build and mentor a community of practice for Data Engineering, fostering an environment of continuous learning and development
Lead the design and architecture of robust, scalable, and efficient data solutions to handle large scale data processing and analytics
Design and develop scalable and reliable data pipelines to support analytics, reporting, and AI use cases
Lead by example by helping team members in solving complex technical problems through hands-on solutioning, providing technical direction and driving the team towards technical expertise. Set high benchmarks by learning from and contributing to the open source community
Drive innovation through research on emerging technologies and tools in the data engineering space. Lead the effort in adopting new data technologies and best practices for continuous improvement of the data ecosystem
Collaborate with business leaders, product managers, data analysts, data scientists, and engineers to understand business needs and translate them into actionable data engineering plans.
Take data insights to the next level by implementing generative AI use cases
Explore, analyze and understand the data from internal and external sources, outline designs to integrate, centralize and unify data
Develop and maintain an enterprise-wide data model and metadata strategy. Incorporate industry trends and best practices in data model design and development frameworks
Create reference designs, standards & best practices to ensure engineering teams build distributed, low latency, reliable data pipelines ensuring the availability and timely delivery of data
Conduct a continuous audit of data management system performance, refine and optimize whenever required
Perform root cause analysis on internal and external data processes to answer specific business questions and identify opportunities for improvement.
Implement data governance and compliance protocols in line with industry and security standards. Be an advocate of data security principles and ensure appropriate security practices are embedded in all implementations
Develop and maintain detailed documentation for systems, data standards, and procedures.
Promote a culture of engineering excellence by defining standards and best practices and conduct periodic reviews to ensure the team adheres to these high standards
Partner with Infrastructure team in creating effective and efficient CI/CD Pipelines
Advance a culture of operational excellence through continuous process improvements, performance tuning, disaster recovery, and high availability strategies.
Communicate complex technical concepts and solutions in a clear and effective manner to a variety of stakeholders.
Qualification
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Required
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field
10+ years of experience in an expert level data engineering role with hands-on experience in building large scale data processing systems
In-depth knowledge of Data management concepts, data modeling techniques and methodologies in an all-cloud ecosystem dealing with Big Data
Strong experience in designing complex, distributed systems with a focus on reliability and scalability
Good understanding of Data Science, generative AI use cases and LLMs
Proven ability to drive research and technology adoption with measurable business impact.
Expertise in creating end to end data flow architectures and scalable/flexible data models
Strong understanding of modern data platforms and designs - data warehouse, data lake, lake house, data mesh, real-time streaming etc.
Experience working with modern data engineering tech stack and platforms (Databricks, Snowflake, AWS Services, DBT)
Experience with distributed data architectures and big data processing technologies (Spark, EMR, Hadoop)
Experience working with real-time data streams processing and ingestion frameworks ( Apache Kafka, Kinesis, Flink or Spark Structured Streaming)
Proficiency in Python, Pyspark
Expertise in Advanced SQL programming and Performance Tuning
Experience with CI/CD using Github Actions or Jenkins
Proficiency in SQL development and database administration
Experience working with structured, semi-structured and unstructured data
Confident in decision making and the ability to explain processes or choices as needed
Excellent multitasking skills and task management strategies
Strong strategic thinking, analytics skills and business acumen
Sees the big picture and is fully aware of technology and business directions
Optimizes the use of all available resources
Effectively manage competing priorities and promote agile delivery
Strong ability to analyze and interpret complex datasets.
Excellent problem-solving skills and attention to detail.
Exceptional leadership skills with a track record of mentoring top-tier data engineers.
Superior communication and interpersonal abilities.
Preferred
Experience in developing and implementing generative AI models and algorithms
Familiarity with natural language processing (NLP) and computer vision for generative AI applications.
Experience in building and deploying generative AI systems in real-world applications
Benefits
Medical/dental/vision insurance
401(k) plan
Paid time off
Other benefits in accordance with applicable plan documents
Company
FOX Tech
Make Your Mark Here. At FOX, we pride ourselves in shaking things up and making things happen.
5,001-10,000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase
