Principal Data Architect
New Jersey, Parsippany-Troy Hills, United States of America
StatusNeo
We Are Experts In Cloud Native Digital Solutions And Services. We Accelerate Time To Value For World's Leading Businesses By Leveraging Best Fit Technology And Agility In Our Ways Of Working (WOW).- 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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