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LeadFull-timeAWSTensorFlowGitGoAIML
Salary Range
$30,600 - $41,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a highly motivated Lead Data Engineer to join our Data Platform team for our Edge Computing AI Platform. This role involves shaping the future of our data platform through architecture, strategy, and execution of data ingestion, processing, and analysis, while also mentoring engineers and elevating the engineering culture.
Key Responsibilities
- →Lead the design, architecture, and delivery of tools and services that support data workflows, ingestion, processing, and distribution across teams.
- →Define technical direction and best practices for the Data Platform team, driving alignment across engineering stakeholders.
- →Mentor and grow a team of data engineers through hands-on collaboration, code reviews, and technical guidance.
- →Own end-to-end architecture decisions for data tooling and services, balancing short-term delivery with long-term scalability and maintainability.
- →Collaborate cross-functionally with engineers, product managers, and leadership to drive team growth.
- →Identify and execute on high-impact opportunities that contribute to building a company at the forefront of the AI and Edge Computing industry.
Requirements
- ✓12+ years of experience in software or data engineering, with at least 2 years in a technical lead or senior individual contributor role.
- ✓Proven experience leading the design of data platforms, including data modeling, ETL/ELT processes, and streaming data pipelines at scale.
- ✓Deep expertise with data warehousing technologies (Databricks, Snowflake, BigQuery, Redshift) and data processing platforms (Spark), including file formats like Avro and Parquet.
- ✓Strong understanding of Storage (Object Stores, Data Virtualization) and Compute (Spark on K8S, Databricks, AWS EMR) architectures.
- ✓Hands-on experience with workflow orchestration tools like Airflow, including designing and maintaining complex DAG pipelines.
- ✓Experience with version control systems like Git and enforcing standardized git workflows across a team.
- ✓Strong analytical and problem-solving skills, with a demonstrated ability to lead technical discussions and drive consensus.
- ✓Experience architecting and delivering data-heavy platforms and/or APIs in production environments.
- ✓Deep understanding of distributed systems and how architectural decisions affect performance, reliability, and maintainability.
- ✓Bachelor's degree in Computer Science, Electrical Engineering, or related field.
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