Senior Data Engineer

📋 Description

• • Join phData, a globally recognized leader in the modern data stack, as a Senior Data Engineer and contribute to shaping the future of data solutions for enterprise clients.
• • phData is renowned for its deep partnerships with leading cloud data platforms including Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, enabling us to deliver unparalleled services and innovative solutions.
• • We are committed to empowering global enterprises to conquer their most complex data challenges, driving significant business impact through advanced data strategies.
• • As a remote-first organization, phData fosters a vibrant and inclusive culture with employees across the United States, Latin America, and India, celebrating diverse backgrounds and promoting technological curiosity, ownership, and trust.
• • Experience a dynamic and exciting work environment where top performers are empowered with the autonomy to deliver exceptional results, backed by a company culture that values innovation and collaboration.
• • Be part of an organization that has been consistently recognized for its excellence, including being a 6x Snowflake Partner of the Year (2020-2025), and a Partner of the Year for Fivetran, dbt, Atlation, and AWS.
• • Contribute to a team that holds the #1 position in Snowflake Advanced Certifications and boasts over 600 expert cloud certifications across various platforms.
• • This role offers the opportunity to develop and implement end-to-end technical solutions that are production-ready, ensuring high performance, robust security, scalability, and seamless data integration.
• • You will be instrumental in designing, building, and optimizing data pipelines and architectures that support critical business functions and drive data-informed decision-making.
• • Leverage your programming expertise in Java, Python, and/or Scala to build sophisticated data solutions that meet the evolving needs of our clients.
• • Work extensively with core cloud data platforms such as Snowflake, AWS, Azure, Databricks, and GCP, applying your knowledge to solve complex data problems.
• • Master the art of SQL, writing, debugging, and optimizing complex queries to extract, transform, and load data efficiently.
• • Engage directly with clients, utilizing strong written and verbal communication skills to understand their requirements, present technical solutions, and build trusted relationships.
• • Create and deliver compelling presentations that articulate technical strategies, project roadmaps, and solution designs to diverse stakeholders.
• • Develop detailed solution documentation, including Proofs of Concept (POCs), roadmaps, sequence diagrams, class hierarchies, and logical system views, ensuring clarity and comprehensive understanding of implemented solutions.
• • Collaborate with cross-functional teams to ensure the successful deployment and ongoing maintenance of data solutions.
• • Contribute to the complete software development lifecycle, from initial design and documentation through implementation, rigorous testing, and final deployment.
• • Implement automated data transformation and data curation processes using tools like dbt and Spark to enhance data quality and efficiency.
• • Utilize workflow management and orchestration tools such as Airflow, AWS Managed Airflow, or Luigi to streamline data processes and ensure reliable execution of pipelines.
• • Gain exposure to and work with a variety of data sources, including queues, relational databases, files, APIs, and streaming data.
• • Contribute to the development and maintenance of cloud and distributed data storage solutions, including S3, ADLS, HDFS, GCS, and various NoSQL systems.
• • Work with cutting-edge data integration technologies like Spark, Kafka, Streamsets, Matillion, Fivetran, NiFi, and cloud-native services (AWS Data Migration Services, Azure DataFactory, Google DataProc).
• • Embrace a culture of continuous learning and professional development, staying abreast of the latest trends and technologies in the data engineering landscape.
• • Make a tangible impact by helping clients unlock the full potential of their data, driving innovation and competitive advantage.
• • Be a key player in a fast-growing, award-winning company that values its employees and fosters a supportive and challenging work environment.