Principal Architect

4 weeks ago

Seattle, Washington, United States EPSoft Technologies LLC Full time

Full Time Opportunity

Job Title: Principal Architect /Practice Lead (Big Data)

Location: Remote

Hybrid: Yes

Note: We are seeking a seasoned professional with a background in product development.

Description:

  • This position is for a highly skilled software engineer who is passionate about designing and developing high-performance data platforms.
  • To be successful in this role, you need effective communication and collaboration skills, a passion for learning and trying new things, and a strong foundational understanding of programming and computer science.
  • As a member of our team, you will apply your knowledge and skills to help us deliver scalable, performant, maintainable, and testable software.

Responsibilities:

  • Collaborate with a distributed team of engineers across multiple products to build software.
  • Work with business partners to understand and refine requirements.
  • Eliminate ambiguity in projects and communicate direction to engineers.
  • Ramp up quickly on existing software to deliver incremental, integrated solutions.
  • Design and develop high-performance, stable, scalable systems for deployment in an enterprise setting.
  • Lead high-level architecture discussions and planning sessions.
  • Participate in the code review process by assessing pull requests.
  • Support systems and services during production incidents.
  • Author and recommend technical proposals and root cause analyses.
  • Provide mentoring and advice for other specialists.
  • Establish engineering practices and standards within the team.

Qualifications:

  • Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
  • Minimum of 15+ years of related big data engineering experience modeling and developing large data pipelines and platforms.
  • Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data.
  • Expert in Python and SQL skills processing big datasets.
  • A strong grasp of computer science fundamentals (data structures, algorithms, databases, etc.).
  • Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks).
  • Expert in Data Modeling techniques and Data Warehousing standard methodologies and practices.
  • You are a problem solver with strong attention to detail and excellent analytical and communication skills.
  • In-depth experience with Cloud technologies like AWS (S3, ECS, EMR, EC2, Lambda, etc.).
  • Solid experience with data integration toolsets (i.e Airflow), CI/CD.
  • Experience using source control systems and CI/CD pipelines.

Preferred Qualifications:

  • Proficient with Scrum and Agile methodologies.
  • Experience directly managing and mentoring a team.

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