MissionStaff specializes in delivering Creative, Marketing, and Technology talent for companies ranging from mid-sized enterprises to the Fortune 500. We build lasting relationships with talent and clients to power career opportunities and business. We are currently filling a position for a Sr Data Architect for a permanent position
Please note that we do not accept unsolicited resumes from third-party recruiters or agencies. Additionally, candidates must be U.S. citizens or Permanent Residents to be considered for this position
We are currently seeking a dynamic Senior Data Architect. This role will be at the forefront of managing and scaling our data infrastructure to support our high-volume, high-velocity data environment. You will lead the design and implementation of our data architecture, ensuring its performance, reliability, and scalability to meet our business's ambitious goals.
- Data Architecture Design and Implementation: Develop and maintain a scalable and efficient data architecture that supports high-volume data ingestion, processing, and analysis.
- High-Scale Data Processing: Implement and optimize data pipelines and workflows to handle large-scale data efficiently, using advanced ETL techniques and big data technologies.
- Performance Optimization: Monitor, troubleshoot, and optimize data systems for high performance and reliability, addressing challenges related to big data processing at scale.
- Data Governance and Quality: Establish data governance frameworks and quality assurance processes to maintain the integrity and security of our data.
- Cross-Functional Collaboration: Collaborate with various departments, including product development, analytics, infrastructure and DevOps, to align data engineering efforts with business and product strategies.
- Innovation and Research: Research and implement cutting-edge technologies and methodologies in big data, machine learning, and cloud computing to keep our data infrastructure ahead of the curve.
- Data Security and Compliance: Ensure compliance with data privacy regulations and best practices in data security.
You have:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 10 years of data engineering experience, preferably in a high-scale, high-volume SaaS environment.
- Must have AWS experience with a AWS certification a plus
- Demonstrated ability in building and scaling complex data pipelines and architectures.
- Experience with MS SQL and Druid, AuroraDB, DynamoDB, Neptune, or Trino (Presto)