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About the position
The Sr. Data Platform Architect will play a crucial role in evaluating and enhancing the company's big data platform and adjacent application stacks. This position involves strategic analysis, design, and communication of both high-level visions and technical directions to ensure the platform's future aligns with business opportunities and technological advancements. The role emphasizes collaboration, problem-solving, and leadership in the Hadoop ecosystem and related technologies.
Responsibilities
- Evaluate the existing Hadoop and adjacent ecosystem, including its architecture, infrastructure, and performance, to identify challenges in migration and areas of improvement.
- Develop comprehensive strategies for migration or risk mitigation, including a detailed roadmap, timeline, and resource requirements.
- Identify technology alternatives where appropriate.
- Provide leadership to the organization in specific areas of expertise.
- Assume the technical lead and act as the architect for major company systems or concepts.
- Participate in major architectural reviews and plans.
- Ensure that information and trends within their area of expertise are effectively communicated to relevant business units within the company.
- Prototype systems in anticipation of new requirements.
- Develop functional requirements from prototype systems.
- Analyze and solve problems in existing systems.
- Design, code, and test multiple modules of a system in a timely manner.
- Ensure that project teams plan and participate in load, capacity, and performance analysis and/or testing.
- Represent the company's position by participating on or leading relevant standards committees such as ISO, NISO, ACM, and IEEE.
- Lead the implementation of standards within company systems.
- Perform other tasks as assigned.
Requirements
- Master's degree required plus 8 to 12 years of experience at a high technical level of knowledge and experience.
- Familiarity with alternative big data technologies, such as Apache Kafka, Apache Flink, Apache Cassandra, or cloud-based solutions like Amazon EMR or Google BigQuery.
- 5+ years of leadership experience with Hadoop and adjacent technologies, such as Hive, Pig, and Spark.
- Proficiency in programming commonly used in big data processing, such as Java, Scala, or Python.
- Experience transitioning Hadoop workflows to alternative solutions strongly preferred.
- Strong understanding of distributed computing principles, experience with large-scale data processing frameworks, and big data concepts in general.
- Excellent communication and presentation skills.
- Ability to work independently and as part of a team.
- Several years' proven experience leading large-scale projects across multiple teams.
- Experience with multiple complex, business-critical systems is expected.
- Experience with on-premise big data architectures.
- Experience with Graph data architectures and Graph databases.
Nice-to-haves
- Experience with cloud-based big data solutions.
- Knowledge of data governance and data quality frameworks.
Benefits
- Work/life balance initiatives
- Opportunities for professional development
- Impactful work that contributes to global accessibility of information
