Principal Data Architect
3 weeks ago
Striving for excellence is in our DNA.
At the core of our identity, the pursuit of excellence defines every action we take. We aren't just specialists; we are pioneers in Platform and Product Engineering. with a sharp focus on Cloud Native D3 (Digital, Data, DevSecOps). We empower global leaders to envision, craft, and implement software and digital solutions that revolutionize industries.
About StatusNeo:
At StatusNeo, we are committed to redefining the way businesses operate. As a leader in digital transformation, we leverage cutting-edge technologies and innovative strategies to empower organizations around the globe. Our partnerships with industry giants and our commitment to continuous learning and improvement provide an unparalleled platform for professional growth. Embrace a career at StatusNeo, where we value diversity, and inclusivity and foster a hybrid work culture.
Key Responsibilities:
- 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
- 12+ 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.
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