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.
- 5x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024)
- Fivetran, dbt, Atlation, Matillion 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 US, India and LATAM
Unlock future opportunities at phData, where innovation meets data excellence. At phData we’re always on the lookout for top talent and we’re committed to expanding our network of skilled professionals. As our requirements evolve, we encourage you to apply and submit your resume here, even if there’s no role available at the moment. Your information will be added to our system, and we’ll notify you of relevant opportunities as they become available if you are a fit.
Required Experience:
- 5+ years as a hands-on Data Engineer, Software Engineer or Solutions Architect designing and implementing data solutions
- Solutions Architects must have team lead experience
- 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
- 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, 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
#LI-DNI
phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.
Top Skills
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
