Principal Data & Analytics Engineer
About The Position
Iridium is seeking a Principal Data Engineer with 10+ years of experience to serve as the technical leader for our modern data platform, driving the architecture, engineering standards, and evolution of our enterprise data ecosystem. As a Principal Data Engineer, you will bridge the disciplines of data engineering and analytics engineering, transforming raw enterprise data into scalable, trusted, and business-ready data products while establishing the technical standards that underpin our modern data platform- this role bridges the gap between raw data and business-facing analytics. You will be responsible for building robust data pipelines, architecting our data warehouse layers, and creating clean, documented data/semantic models that empower the entire organization. In this role, you will also act as a technical leader, establishing standards and mentoring engineers.
Requirements
- Bachelor’s degree in Engineering, Information Systems or a related field of study
- 10+ years related experience in leading complex technical projects, DataOps, and data engineering
- Expertise in designing data models for different data types and use cases
- Deep experience with relational databases, including advanced SQL skills
- Experience with modern cloud data platforms and tools such as Snowflake, Databricks, dbt, etc.
- Familiarity with data warehouse concepts, data lake architecture, and data analytics tools
- Proficiency in cloud platforms (AWS, Azure, GCP) for data storage and processing
- Understanding of data governance principles, data privacy regulations and best practices for data security
- Knowledge of programming languages like Python, Java, or Scala for data processing and automation
- Excellent communication skills, with the ability to convey products, deliverables, analyses, and/or issues clearly and confidently, and recognize and adapt to different communication techniques
- Familiarity with agile development processes and tools (JIRA, GIT, Confluence, etc.)
- The ability to build meaningful relationships with others, including senior leadership outside of your own department, and comfort in providing constructive feedback to your team members and management
- Be able to analyze a situation or problem, generate effective solutions, and see those solutions through to completion
- Can thrive in a dynamic environment by handling multiple tasks and managing shifting priorities
- Be proactive in sharing knowledge you’ve learned with others
Nice To Haves
- Advanced degree in Engineering, Information Systems or a related field of study
- Experience in telecommunications, ground networks, and/or satellite communications industry
- Familiarity with agile development tools (JIRA, GIT, Confluence, etc.)
- Strong knowledge of data engineering methodologies, DevOps/DataOps & Agile processes
Responsibilities
- Use your data modeling and transformation skills to transform raw data into business ready dimensional models/star schemas, data marts and semantic models that support robust self-service Business Intelligence and AI
- Design, build, and optimize scalable end-to-end ELT/ETL pipelines to ingest structured and unstructured data from diverse sources
- Develop automated scheduling, monitoring, and orchestration to guarantee data freshness and pipeline reliability
- Partner with data owners and governance stakeholders to establish data governance policies / procedures to ensure data quality and compliance, and implement robust data security measures to protect sensitive data
- Work closely with business stakeholders and the IT analytics team to understand data requirements, translate them into technical specifications, and collaborate with data engineers to implement data solutions
- Communicate data platform architecture and capabilities to technical and non-technical teams
- Assist in the development and delivery of training for data & analytic platform capabilities and content
- Exercise technical authority over projects and provide technical leadership and mentoring to the team
- Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement
Benefits
- medical, dental, and vision insurance coverage
- 401(k) retirement plan options
- paid time off and paid holidays
- paid parental leave
- company stock
- annual bonus
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What This Job Offers
Job Type
Full-time
Career Level
Senior
