Enterprise Data Solutions Expert

7 days ago

Arlington, Virginia, United States Seneca Resources Full time
Job Overview

We are seeking a highly skilled and experienced Senior Data Solutions Architect to join our dynamic team at Seneca Resources.

In this role, you will leverage your deep technical expertise, strategic vision, and problem-solving abilities to architect, design, and develop end-to-end data solutions that are robust, scalable, and innovative.

Key Responsibilities
  • Architectural Design & Development:
    • Lead the architectural design and development of end-to-end data solutions, ensuring they are scalable, reliable, and secure.
    • Work closely with data engineers, data scientists, product managers, and business stakeholders to translate business requirements into technical solutions.
  • Cross-functional Collaboration:
    • Collaborate with other solutions architects, data governance, and data platform teams to ensure that data products align with data mesh principles and organizational standards.
    • Engage with product management and business units to define data strategies that support business objectives.
  • Technology Evaluation & Recommendation:
    • Evaluate, recommend, and implement modern data technologies, tools, and frameworks to enhance our data infrastructure and capabilities.
    • Conduct technical assessments, feasibility studies, and proof-of-concepts to validate new technologies and approaches.
  • Standards & Best Practices:
    • Develop and maintain architectural standards, guidelines, and best practices to ensure the high quality and consistency of our data solutions.
    • Ensure compliance with data security and privacy regulations, and promote best practices for data governance.
  • Technical Leadership & Mentorship:
    • Provide technical leadership and mentorship to engineering teams, fostering a culture of continuous learning, innovation, and improvement.
    • Lead architectural reviews, ensuring that solutions are aligned with long-term strategic goals.
  • Performance Monitoring & Optimization:
    • Monitor and optimize the performance of data systems and applications, identifying potential bottlenecks and implementing solutions to enhance performance and scalability.
    • Implement monitoring and alerting systems to ensure the reliability and availability of data services.
  • Industry Trends & Continuous Improvement:
    • Stay up-to-date with industry trends, emerging technologies, and best practices in data architecture and engineering.
    • Continuously explore new ways to improve our data architecture, tools, and processes, driving innovation across the organization.
Requirements
  • Educational Background:
    • Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field.
  • Experience:
    • 8+ years of experience in data architecture, data engineering, or related roles.
    • Proven experience with cloud-based data platforms (e.g., AWS, Azure, GCP), big data technologies, and data warehousing solutions.
    • Experience with data governance, data security, and compliance frameworks.
  • Technical Skills:
    • Strong proficiency in data modeling, database design, ETL processes, and data warehousing concepts.
    • Hands-on experience with modern data technologies (e.g., Apache Kafka, Apache Spark, Snowflake, Databricks).
    • Proficiency in programming languages such as Python, Java, or Scala.
    • Familiarity with data mesh principles and microservices architecture.
  • Soft Skills:
    • Excellent problem-solving and analytical skills, with the ability to navigate complex technical challenges.
    • Strong communication and interpersonal skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
    • Leadership qualities with a proven track record of mentoring and guiding technical teams.
    Preferred Qualifications
    • Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert).
    • Experience in Agile methodologies and DevOps practices.
    • Previous experience in a leadership role within a data-focused team.

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