[Hiring] Principal Solutions Architect - Data Engineering @phData

Role Description

Join phData, a dynamic and innovative leader in the modern data stack. We partner with major cloud data platforms, including 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 cultures 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.

Qualifications

• 15-20 years of Experience with 8+ years as a hands-on Solutions Architect designing and implementing data solutions
• Consulting leadership experience working with external customers
• Strong programming expertise in Python and/or Scala; Java experience is a plus
• Core cloud data platforms, including Snowflake, AWS, Azure, Databricks, or GCP
• SQL and the ability to write, debug, and optimize SQL queries
• Modern data transformation frameworks: dbt (data build tool) for ELT pipeline development, testing, and documentation within cloud data warehouses
• Demonstrated expertise in effectively leading and managing a team comprising Solution Architects and Data Engineers
• Proven track record of collaborating with client stakeholders, technology partners, and cross-functional sales and delivery team members across distributed global teams
• Ability to develop end-to-end technical solutions into production
• 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, or a Master's in Computer Applications or equivalent

Requirements

• Production experience in core data platforms: Snowflake, AWS, Azure, GCP, Databricks, legacy big data platforms such as Hadoop/HDFS
• Cloud and Distributed Data Storage: S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems
• Data integration technologies: Spark, Kafka, Apache Flink, event/streaming, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, Informatica Intelligent Cloud Services (IICS), Google DataProc, or other data integration technologies
• Experience designing multi-source integration patterns across structured, semi-structured, and unstructured data
• Complete software development life cycle experience: including design, documentation, implementation, testing, and deployment
• Automated data transformation and data curation: Spark, Spark streaming, automated pipelines
• Experience with data observability and quality frameworks
• Experience designing data pipelines and feature stores that support ML/AI workloads
• Workflow Management and Orchestration: Airflow, AWS Managed Airflow, Luigi, NiFi
• Open table formats: Apache Iceberg, Delta Lake (Databricks), Apache Hudi
• Methodologies: Agile Project Management, Data Modeling (e.g., Kimball, Data Vault)

Benefits

• Remote-First Workplace
• Medical Insurance for Self & Family
• Medical Insurance for Parents
• Term Life & Personal Accident
• Wellness Allowance
• Broadband Reimbursement
• Continuous learning and growth opportunities to enhance your skills and expertise
• Other benefits include paid certifications, professional development allowance, and bonuses for creating company-approved content