Principal Data Architect
New Jersey, Parsippany-Troy Hills, United States of America
StatusNeo
- Design scalable and efficient data architectures and models
- Develop data storage solutions, including lakes, warehouses, and NoSQL/SQL databases
- Architect and manage AWS-based data solutions using S3, Redshift, Glue, and Lambda
- Ensure scalability, availability, security, and cost efficiency of data infrastructure
- Create and manage automated ETL/ELT workflows and pipelines
- Collaborate with teams to translate data requirements into technical specs
- Define and enforce data governance and security policies
- Ensure compliance with industry standards and regulations
- Integrate machine learning models into data pipelines
- Support AI/ML deployment for actionable insights
- Use open-source tools like Jupyter and Anaconda for data processing
- Stay updated on emerging technologies to enhance data solutions
- Bachelor’s or master’s degree in Computer Science, Data Science, or a related field
- 8+ years of experience as a Data Architect or in a similar role
- Certifications in AWS (e.g., AWS Certified Solutions Architect) are a plus
- Proven expertise in designing and implementing large-scale data architectures and models
- Strong experience with big data frameworks and modern data processing tools
- Proficiency in building and optimizing ETL/ELT workflows and data pipelines
- Hands-on experience with data governance, compliance standards, and security practices
- Excellent problem-solving skills and the ability to work in fast-paced environments
- Ability to adjust to new conditions and effectively handle change.
- Proficient in identifying problems and brainstorming potential solutions.
- Willingness to work collaboratively with colleagues to achieve common goals.
- Capacity to manage time efficiently and prioritize tasks effectively.
- Ability to think outside the box and bring forward innovative ideas.
- Willing to travel as needed
- Engage in both national and international business trips to expand your professional network and gain diverse industry insights.
- Thrive in an environment that prioritizes knowledge sharing and ongoing professional development through structured training programs.
- Work in a modern and vibrant setting that fosters creativity and innovation.
- Contribute to the industry by writing books and participating in leading conferences, enhancing both personal and professional growth.
- Explore various international assignments that provide a platform for significant career advancement and global exposure.
- Benefit from the chance to relocate, offering personal and professional development in new geographical and cultural landscapes.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Anaconda Architecture AWS Big Data Computer Science D3 Data governance Data pipelines ELT Engineering ETL Jupyter Lambda Machine Learning ML models NoSQL Open Source Pipelines Redshift Security SQL
Perks/benefits: Career development Conferences
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