Demo

Senior Data Platform Architect

Integritas Search
Columbus, OH Full Time
POSTED ON 1/19/2025
AVAILABLE BEFORE 4/19/2025

Integritas is working with a network partner to help fill a HYBRID Senior Data Platform Architect role in Columbus, OH.

3 days in office required. Must live within a commutable distance to Columbus, OH. Contact Ben (ben@integritassearch.com) for more information.

Senior Platform Architect

Our client strongly believes in work / life balance. They do impactful work and want their teams to feel challenged and fulfilled. They work hard to make a job at the company a meaningful part of a balanced life- not a substitute for one.

They build technology that is making information more accessible and more useful to people around the world. They provide shared technology services, original research and community programs that help meet the ever-evolving needs of their users, institutions, and communities. With office locations around the globe, their employees are dedicated to offering premier services and software to help in this mission.

Job Description

Data Services provides the foundational platforms for the company's key data assets. Are you excited to solve problems with a global footprint and scale measured in petabytes, billions of records and thousands of updates per second? Our client is seeking a Senior Platform Architect to join their team, working across the organization to understand business opportunities, current solutions, and future technology opportunities for their core data platform.

This role requires a unique blend of database expertise and application development experience , with a focus on designing and implementing robust, scalable, and high-performance data platforms. The ideal candidate will possess a strong understanding of data models, database technologies, and data integration principles, while also having experience with API design, microservices architecture, and application development best practices.

Responsibilities

  • Lead the architecture and evolution of the company's data platform. This includes :

Evaluating the existing Hadoop and adjacent ecosystem, including its architecture, infrastructure, and performance, to identify challenges in migration and areas of improvement.

  • Developing comprehensive strategies for migration or risk mitigation, including a detailed roadmap, timeline, and resource requirements. Identifying technology alternatives where appropriate.
  • Designing and implementing data pipelines, APIs, and microservices that enable efficient data access and consumption across the organization.
  • Provide technical leadership and guidance to development teams.
  • Communicate strategic-level vision to upper management and technical direction to development teams, building out a shared understanding and roadmap for the platform's future.

  • Mentor and guide junior engineers on best practices for data platform development.
  • Stay abreast of and evaluate emerging technologies and trends in the data platform space.
  • Participate in and contribute to the development of industry standards and best practices related to data platforms.
  • Other duties as assigned.
  • Qualifications

  • Master's degree required plus 8 to 12 years of experience at a high technical level of knowledge and experience. (Equivalent experience without a Master's degree is 10 to 14 years of experience at a high technical level of knowledge and experience.)
  • Strong experience with both relational databases (e.g., Oracle, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra).
  • 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 languages commonly used in big data processing and application development, such as Java, Scala, Python, and Node.js.
  • Experience with API design and development (RESTful APIs, GraphQL), microservices architecture, and containerization technologies (Docker, Kubernetes).
  • 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 preferred.
  • Experience with Graph data architectures and Graph databases preferred.
  • Additional Notes :

    This position is a Platform Architect - not a Data Architect. This is a 3 day in office hybrid. No relocation or sponsorship at this time. Must have very good communication skills. Open to eliminating Hadoop as a consideration criteria for the role and focusing on large scale data through Cassandra, MongoDB, AWS DynamoDB, Azure Data Tables, etc.; balance between that DB skill and application experience, like API design.

    ben #infotech

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