phData
data stack
LeadDataEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Data Engineer at phData. Skills: Data Engineering, Cloud Data Platforms, Programming Languages, SQL, Data Integration, Data Transformation, Workflow Orchestration. Designing and implementing data solutions. Develop end-to-end technical solutions into production”
Industry & Context.
overcome their toughest data challenges
What They're Looking For.
Must Have
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
Nice to Have
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
What You'll Do.
Designing and implementing data solutions
Develop end-to-end technical solutions into production
Help ensure performance
and robust data integration
Automated data transformation and data curation
Workflow Management and Orchestration
How You'll Work.
Team & Collaboration
Team lead, and/or mentorship of other engineers
Communication Scope
Client-facing written and verbal communication skills and experience; Create and deliver detailed presentations
Process & Methodology
Create and deliver detailed presentations, Detailed solution documentation (e. g. including POCS and roadmaps, sequence diagrams, class hierarchies, logical system views, etc.)
Full Job Description
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 Required Experience: 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 Prefer any of the following: Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Hadoop, Databricks Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, K
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