Principal Solutions Architect - Data Engineering

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, with the ability to multitask, prioritize tasks, frequently change focus, and work across a variety of projects.

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, fostering internal growth through coaching, mentoring, and performance management.

Proven track record of collaborating with client stakeholders, technology partners, and cross-functional sales and delivery team members across distributed global teams, ensuring seamless, successful project delivery outcomes.

Create strong cross-practice relationships to drive customer success.

Exhibits a strong sense of ownership in resolving challenges, committed to ensuring exceptional outcomes for all aspects of project execution.

Ability to develop end-to-end technical solutions into production — and to help ensure performance, security, scalability, and robust data integration.

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.

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

Multiple data sources: Experience designing multi-source integration patterns across structured, semi-structured, and unstructured data — including APIs, CDC/event streams, relational databases, NoSQL systems, and file-based sources

Complete software development life cycle experience: including design, documentation, implementation, testing, and deployment

Automated data transformation and data curation: Spark, Spark streaming, automated pipelines

Data observability and quality frameworks: Experience with tools such as Great Expectations, Monte Carlo, or Acceldata; ability to embed data quality checks, lineage tracking, schema monitoring, and freshness alerting into pipeline design

AI/ML Pipeline Readiness : Experience designing data pipelines and feature stores that support ML/AI workloads; familiarity with MLflow, AWS SageMaker, or Azure ML is a plus

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)

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

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.