Lead Data Engineer

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Overview

Join phData , a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean,

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Data EngineerData

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms like Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to deliver cutting-edge services and solutions. We're committed to helping global enterprises overcome their toughest data challenges.

phData is a remote-first global company with employees based in the United States, Latin America, and India. We celebrate the culture of each of our team members and foster a community of technological curiosity, ownership, and trust. Even though we're growing extremely fast, we maintain a casual, exciting work environment. We hire top performers and allow you the autonomy to deliver results.

6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)
Fivetran, dbt, Atlation, and AWS Partner of the Year
#1 Partner in Snowflake Advanced Certifications
600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)

Recognized as an award-winning workplace in the US, India, and LATAM

8+ years as a hands-on Data Engineer designing and implementing data solutions
Team lead, and/or mentorship of other engineers
Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.
Programming expertise in Java, Python and/or Scala
Core cloud data platforms including Snowflake, AWS, Azure, Databricks and GCP
SQL and the ability to write, debug, and optimize SQL queries
Client-facing written and verbal communication skills and experience
Create and deliver detailed presentations
Detailed solution documentation (e.g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
4-year Bachelor's degree in Computer Science or a related field

Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks
Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra or other NoSQL storage systems
Data integration technologies: Spark, Kafka, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc or other data integration technologies
Multiple data sources (e.g. queues, relational databases, files, search, API)
Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
Automated data transformation and data curation: dbt, Spark, Spark streaming, automated pipelines
Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi