Senior Data Architect

Senior Data Architect

Location: Seattle, WA & Santa Monica, CA (Hybrid)

Full Time

This position is for a Principal Software Engineer who is passionate about 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:

• Work with a distributed team of engineers across multiple products building software collaboratively.
• Work cross-team to build consensus on approach for delivering projects
• Collaborate with business partners to understand and refine requirements
• Eliminate ambiguity in projects and communicate direction to engineers to help team members work in parallel
• Ramp up quickly on existing software to deliver incremental, integrated solutions in a complex environment
• Build high-performance, stable, scalable systems to be deployed 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 as part of the on-call rotation
• Author and recommend technical proposals and root cause analyses
• Provide mentoring and advice for other specialists
• Establish engineering practices and standards within the team to drive quality and excellence

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.