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Senior Data Architect Specialist
2 weeks ago
Job Title:
- Data Architect Specialist
About the Role:
We are seeking a seasoned Data Architect Specialist to lead our data engineering initiatives. The ideal candidate will have extensive experience in designing and implementing robust data architectures, leveraging various technologies such as APIs, Java, Python, SQL, and data integration tools.
Key Responsibilities:
- Data Engineering: Develop and implement high-quality data engineering projects, ensuring seamless data flow across systems.
- Technical Leadership: Foster collaboration and innovation within software development teams, driving adherence to industry best practices and coding standards.
- Team Management: Manage software development teams, focusing on productivity, efficiency, and code quality, while promoting a culture of learning and professional growth.
- Communication: Establish effective communication channels, project status updates, and relationships with external partners, vendors, and third-party providers.
Requirements:
- Educational Background: Bachelor's or master's degree in computer science, software engineering, or a related field.
- Leadership Experience: Proven experience (minimum 7+ years) in senior leadership roles within software development or software engineering.
- Project Delivery: Demonstrated success in delivering complex software projects and products on time and within budget.
- Methodologies: Extensive experience in software development methodologies, such as Agile, Scrum, or Kanban.
- Technical Expertise: Strong technical expertise in software architecture, design patterns, and modern software development languages and frameworks.
- Soft Skills: Excellent communication, interpersonal, and leadership skills.
- Problem-Solving: Exceptional problem-solving and decision-making abilities, with a keen attention to detail.
- Team Building: Proven track record of building and managing high-performing software development teams.
- Business Acumen: Strong business acumen and ability to align software development initiatives with broader business objectives.
- Data Processing: Proficiency with solutions for processing large volumes of data, using data processing tools and Big Data platforms.
- Database Experience: Understanding of cluster and parallel architecture, as well as high-scale or distributed RDBMS, SQL experience.
- Cloud Platforms: Hands-on experience in production rollout and infrastructure configuration, with exposure working on cloud platforms and services such as AWS, Azure, or Google Cloud Platform.
- NoSQL Databases: Demonstrable experience of successfully delivering big data projects using Kafka, Spark, and experience working with NoSQL Databases such as Cassandra, HBase, DynamoDB, and Elastic Search.
Bonus Points:
- PCI Data: Experience working with PCI Data and working with data scientists is a plus.
- API Gateway: Knowledge of API gateway solutions and their implementation.
What We Offer:
We offer a competitive salary and benefits package, as well as opportunities for career growth and professional development.
