Data Architectural Specialist

Job Title: Data Architectural Specialist

• Elevate your career by joining our dynamic team as a Data Architectural Specialist. This exciting role requires the creation of scalable data architectures to support business growth and informed decision-making.

Responsibilities:

• Design and implement robust data pipelines using MS Fabric, ensuring seamless integration with existing systems.
• Develop innovative data models to support business intelligence and analytics, driving actionable insights for stakeholders.
• Manage and optimize ETL processes for data extraction, transformation, and loading, guaranteeing data quality and integrity.
• Collaborate with cross-functional teams to gather and define data requirements, fostering effective communication and collaboration.
• Implement best practices for data management, storage, and processing, ensuring compliance with industry standards.
• Conduct performance tuning for data storage and retrieval, enhancing efficiency and reducing costs.
• Generate and maintain comprehensive documentation for data architecture and data flow, promoting knowledge sharing and transparency.
• Participate in troubleshooting data-related issues and implement solutions, demonstrating expertise and problem-solving skills.
• Monitor and optimize cloud-based solutions for scalability and resource efficiency, ensuring optimal performance.
• Evaluate emerging technologies and tools for potential incorporation in projects, staying ahead of industry trends.
• Assist in designing data governance frameworks and policies, promoting accountability and data security.
• Provide technical guidance and support to junior team members, fostering growth and development.
• Participate in code reviews and ensure adherence to coding standards, maintaining high-quality codebases.
• Stay updated with industry trends and best practices in data engineering, remaining a subject matter expert.

Required Skills and Qualifications:

• Experience: 8+ years of experience in data engineering roles, with a proven track record of success.
• Expertise: Strong expertise in MS Fabric and related technologies, with a deep understanding of data architecture and design principles.
• Technical Skills: Proficiency in SQL and relational database management systems, with experience in data modeling and ETL tools and processes.
• Cloud Platforms: Knowledge of cloud computing platforms (Azure, AWS, GCP), with experience in deploying and managing cloud-based solutions.
• Programming Skills: Familiarity with Python or similar programming languages, with experience in writing efficient and scalable code.
• Communication: Ability to communicate complex concepts clearly to non-technical stakeholders, with excellent presentation and interpersonal skills.
• Data Quality: Experience in implementing data quality measures and data governance, ensuring data accuracy and reliability.
• Problem Solving: Strong problem-solving skills and attention to detail, with the ability to troubleshoot complex technical issues.
• Work Environment: Ability to work independently in a remote environment, with strong self-motivation and discipline.
• Visualization Tools: Experience with data visualization tools is a plus, with the ability to create informative and engaging visualizations.
• Analytical Skills: Excellent analytical and organizational skills, with the ability to prioritize tasks and manage multiple projects simultaneously.
• Education: Bachelor's degree in Computer Science, Engineering, or related field, with a strong foundation in data engineering and computer science principles.
• Methodologies: Experience in Agile methodologies and project management, with the ability to adapt to changing project requirements.

Why Join Our Team?

We offer a dynamic and supportive work environment, with opportunities for professional growth and development. Our team is passionate about data engineering and committed to delivering high-quality solutions that meet customer needs.

What We Offer:

• A competitive salary and benefits package, including health insurance, retirement planning, and paid time off.
• A collaborative and inclusive work environment, with opportunities for socialization and community involvement.
• Professional development opportunities, including training, mentorship, and conference attendance.
• The chance to work on challenging and rewarding projects, with opportunities for innovation and creativity.