Data Engineer Architect

Blue Origin; Seattle (WA); On-site; USD 164,415 - 230,180; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Tuition assistance

Job summary

A leading aerospace company is seeking a Data Engineer Architect to design and implement data solutions. The successful candidate will collaborate with various teams, ensuring compliance with data governance and industry standards. Candidates should have extensive experience in data architecture and hold a relevant degree. This full-time position is based in Seattle, offering competitive pay and benefits.

Qualifications

• 7+ years of experience in data architecture or a senior role.
• Proven track record in data architecture initiatives.
• 5+ years of experience designing scalable data systems.
• 3+ years of experience with big data technologies.

Responsibilities

• Assist in the development of data architecture strategy.
• Contribute to the design of data-intensive systems.
• Support the establishment of data governance frameworks.
• Promote advanced data technologies and methodologies.

Skills

Data architecture frameworks

Data modeling

Big data technologies

Data warehousing

Cloud data services

Data analytics tools

Education

Bachelor's degree in relevant field

Master's or PhD degree

Tools

SQL Server

Oracle

NoSQL databases

Power BI

Tableau

Job description

Join to apply for the Data Engineer Architect role at Blue Origin

Join to apply for the Data Engineer Architect role at Blue Origin

This range is provided by Blue Origin. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$164,415.00/yr - $230,179.95/yr

Direct message the job poster from Blue Origin

As a senior member within a highly skilled team, you will collaborate with data engineers, data scientists, system owners, product managers, and business leaders to architect and oversee the delivery of mission-critical, data-focused solutions for the Blue Origin Flight and Operations group. You will support initiatives across flagship programs including New Shepard, New Glenn, and Blue Engines, ensuring their strategic alignment and operational excellence through your technical expertise and collaborative approach.

We are seeking a highly skilled Data Architect IV who can facilitate cross-functional collaborations across business, engineering, and operations teams to optimize data management and analytics capabilities, driving Blue Origin’s mission forward with innovative and scalable data solutions

Responsibilities:

• Strategic Implementation: Assist in the development and execution of the data architecture strategy for Engines, ensuring alignment with Blue Origin’s long-term vision and business objectives.
• Architectural Design: Contribute to the design and implementation of complex, data-intensive systems across multiple programs, ensuring architectural integrity and compliance with industry standards.
• Data Governance and Compliance: Support the establishment and enforcement of data governance frameworks, ensuring all data solutions adhere to regulatory requirements and Blue Origin’s safety standards.
• Innovation and Best Practices: Promote the adoption of advanced data technologies and methodologies, fostering a culture of continuous improvement and technical excellence within the data architecture teams.
• Data Strategy Development: Assist in developing comprehensive data strategies that support business objectives, including data integration, storage, processing, and analytics.
• Proof of Concept (PoC) Data Engineering:
• Support PoCs: Participate in proof of concept projects to evaluate new data technologies, tools, and methodologies, demonstrating their feasibility and potential impact on Blue Origin’s operations.
• Evaluate Technologies: Help assess emerging data engineering technologies and frameworks, determining their applicability and benefits for existing and future projects.
• Collaborate with Stakeholders: Work with stakeholders to define PoC objectives, requirements, and success criteria, ensuring alignment with business goals.
• Document Findings: Assist in compiling reports and presentations on PoC outcomes, providing actionable insights and recommendations for full-scale implementation.
• Cross-Functional Collaboration: Partner with stakeholders, including executives and department heads, to identify business challenges and develop comprehensive data architectural solutions that address these challenges.
• Data Quality and Management: Ensure high standards of data quality, integrity, and security across all data systems, implementing robust data management practices.
• Data Engineering Projects: Support and contribute to complex data engineering projects, ensuring they meet business requirements, timelines, and quality standards.
• Architect Data Pipelines: Assist in designing and optimizing scalable, reliable, and efficient data pipelines to support real-time and batch data processing needs.
• Mentor Data Engineers: Provide guidance and technical support to junior and mid-level data engineers, fostering professional growth and enhancing team capabilities.
• Optimize Data Infrastructure: Help evaluate and improve data infrastructure, leveraging best practices to enhance performance, scalability, and cost-effectiveness.
• Collaborate with Data Scientists: Work with data scientists to ensure data availability, accessibility, and quality for advanced analytics and machine learning initiatives.
• Mentorship and Development: Mentor and support a team of data architects and engineers, providing guidance, knowledge sharing, and professional development to cultivate a high-performing data architecture function.
• Resource Management: Assist in allocating and managing data architectural resources effectively, balancing project demands with team capabilities to achieve optimal outcomes.
• Stakeholder Communication: Communicate data architectural concepts and strategies to a variety of audiences, including executive leadership, ensuring clear understanding and support for data initiatives.
• Performance Optimization: Continuously evaluate and enhance the performance, scalability, and security of existing data systems, driving efficiencies across flight operations and engineering functions.

Qualifications:

• Education: Bachelor’s degree in Computer Science, Data Science, Information Systems, Aerospace Engineering, Mechanical Engineering, or a related field. A Master’s or PhD degree is preferred.
• Experience:
• 7+ years of experience in data architecture or a senior data architectural role within the aerospace or related high-tech industries.
• Proven track record of contributing to data architectural initiatives and making data-related decisions that support evolving business needs.
• Extensive experience with data architecture frameworks and methodologies.
• 5+ years of experience designing and implementing scalable, distributed data systems.
• 3+ years of experience with big data technologies such as Hadoop, Spark, or similar platforms.
• Strong expertise in data modeling, data warehousing, ETL processes, and real-time data processing.
• Technical Skills:
• Proficiency in data modeling tools (e.g., ER/Studio, PowerDesigner) and database systems (e.g., SQL Server, Oracle, NoSQL databases).
• Advanced knowledge of cloud data services, including AWS (e.g., Redshift, RDS, S3) and data orchestration tools.
• Solid understanding of data security best practices and regulatory compliance standards.
• Leadership: Demonstrated ability to lead and mentor data architecture teams, fostering a collaborative and innovative environment.
• Communication: Excellent ability to communicate complex data concepts to both technical and non-technical stakeholders, including executive leadership.
• Advanced Degree: Master’s degree in Computer Science, Data Science, Aerospace Engineering, Mechanical Engineering, or a related field.
• Industry Expertise: Experience in the Manufacturing and/or Aerospace industry, with a strong understanding of industry-specific data challenges and solutions.
• Data Analytics and BI: Proficiency in business intelligence and data analytics tools such as Tableau, Power BI, or similar platforms.
• Certifications: Additional certifications in data architecture, data management, cloud data services, or related areas.
• Strategic Planning: Experience in developing and executing data architectural roadmaps and strategies.
• Innovative Projects: Involvement in high-impact, innovative data projects that have significantly advanced organizational goals.
• Publications and Thought Leadership: Contributions to industry publications, conferences, or recognized thought leadership in data architecture and aerospace systems.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Aviation and Aerospace Component Manufacturing

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Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Tuition assistance

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