Senior Data Engineer

About the Company

Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed anywhere.

We are seeking a highly motivated Senior Data Engineer to join our Data Platform team for our Edge Computing AI Platform. As a Data Engineer in our Data Platform team, you will be responsible for helping us shape the future of data ingestion, processing, and analysis, while maintaining and improving existing data systems.

• Build new tools and services that support other teams’ data workflows, ingestion, processing, and distribution.
• Design, discuss, propose, and implement to our existing data tooling and services.
• Collaborate with a diverse group of people, giving and receiving feedback for growth.
• Execute on big opportunities and contribute to building a company culture rising to the top of the AI and Edge Computing industry.

• 6+ years of experience in software development.
• Experience with data modeling, ETL/ELT processes, streaming data pipelines.
• Familiarity with data warehousing technologies like Databricks/Snowflake/BigQuery/Redshift and data processing platforms like Spark; working with data warehousing file formats like Avro and Parquet.
• Strong understanding of Storage (Object Stores, Data Virtualization) and Compute (Spark on K8S, Databricks, AWS EMR and the like) architectures used by data stack solutions and platforms.
• Experience with scheduler tooling like Airflow.
• Experience with version control systems like Git and working using a standardized git flow.
• Strong analytical and problem-solving skills, with the ability to work independently and collaboratively in a team environment.
• Professional experience developing data-heavy platforms and/or APIs.
• A strong understanding of distributed systems and how architectural decisions affect performance and maintainability.
• Bachelor’s degree in computer science, Electrical Engineering, or related field.

• Experience analyzing ML algorithms that could be used to solve a given problem and ranking them by their success probability.
• Proficiency with a deep learning framework such as TensorFlow or Keras.
• Understanding of MLOps practices and practical experience with platforms like Kubeflow / Sagemaker.

Compensation & Benefits

For India-based candidates: We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada.

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You're a Great Fit if You're

• A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
• A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
• Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
• A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
• Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you

Equal Opportunity Statement

At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.