Application Architect III

• Design, build, and maintain scalable batch and streaming data pipelines using Apache Spark that ingest, transform, and deliver data from a wide range of internal sources.
• Optimize Snowflake/Databricks data warehouse, including schema design, data modeling, warehouse sizing, clustering, and cost management.
• Develop robust ETL/ELT workflows and orchestrate them with tools such as Airflow, Dagster, or similar, ensuring pipelines are observable, idempotent, and recoverable.
• Tune Spark jobs and Snowflake/Databricks queries for performance and cost, identifying bottlenecks in partitioning, shuffles, joins, and compute usage.
• Implement data quality checks, testing, monitoring, and alerting so issues are caught before they reach downstream consumers.
• Establish and enforce best practices for data governance, security, access control, and compliance.
• Partner with product teams to understand requirements and deliver datasets that are accurate, well-documented, and easy to use.
• Contribute to CI/CD, IaC, and deployment practices for the data platform.
• Lead technical design discussions, write design documents, review code to raise the quality bar across the team.
• Mentor junior and mid-level engineers and help shape the long-term roadmap for our data platform.

• 7 years experience in data engineering with a strong track record of building production data pipelines.
• Deep hands-on experience with Apache Spark, including writing, debugging, and performance-tuning large-scale jobs.
• Strong experience with data modeling, performance optimization, and cost governance.
• Expert-level SQL and strong programming skills in Java and/or Python.
• Experience with workflow orchestration tools such as Apache Airflow, Dagster, or Prefect.
• Experience working in a cloud environment.
• Experience with version control (Git), CI/CD pipelines, and software engineering best practices.
• Experience with streaming technologies like Kafka.
• Prior work experience at client or in client’s Industry.

Applicants must be able to work directly for Artech on W2. Preferred Skills & Qualifications (Nice-to-have skills but are not required)

• Experience with microservices architecture.
• Experience with cloud implementation, data on cloud, and integration with cloud.
• Experience mentoring junior and mid-level engineers.