Job Title: Data Architect Location: THIS ROLE IS HYBRID IN MT. LAUREL, NJ (3X PER WEEK)

Jobs via Dice; New York (NY); Hybrid; USD 147,000 - 216,000; Full time

Job summary

A leading technology company is seeking a Java Architect in a hybrid work model. The candidate will have 7 to 9 years of experience and expertise in PySpark and Azure Databricks. Responsibilities include designing data solutions, optimizing data workflows, and mentoring junior staff. This position offers competitive salary options and a dynamic work environment.

Qualifications

• 7 to 9 years of experience in data architecture.
• Strong understanding and application of PySpark and Azure Databricks.
• Proven track record in designing scalable data solutions.

Responsibilities

• Design and develop scalable data architectures using PySpark and Azure Databricks.
• Implement data processing pipelines to ensure data quality and security.
• Mentor junior team members and optimize workflows for performance.

Skills

PySpark

Azure Databricks

Cloud-based data solutions

Data architecture design

Data quality assurance

Problem-solving

Communication

Education

Degree in Computer Science or Information

Job description

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Dice is the leading career destination for tech experts at every stage of their careers. Our client, First Object Inc., is seeking the following. Apply via Dice today!

Job Title: Java Architect

Location: THIS ROLE IS HYBRID IN MT. LAUREL, NJ (3X PER WEEK)

Job Summary

We are seeking an experienced Architect with 7 to 9 years of experience to join our team in a hybrid work model. The ideal candidate will have expertise in k and Azure Databricks, and will be responsible for designing and implementing data solutions. This role requires a proactive individual who can drive innovation and efficiency in data processing and analytics.

Required Skills: Technical Skills: PySpark, Azure

Responsibilities:

• Experience: 7 - 9 years
• Design and develop scalable data architectures using PySpark and Azure Databricks to
• Meet business requirements. - Collaborate with cross-functional teams to understand
• data needs and translate them into technical solutions. - Implement data processing
• pipelines that ensure data quality, integrity, and security. - Optimize data workflows for
• performance and cost-effectiveness in a cloud environment. - Provide technical guidance
• and mentorship to junior team members to foster growth and development. - Conduct
• regular reviews of data architecture and recommend improvements for efficiency. - Stay
• updated with the latest industry trends and technologies to ensure the company
• remains competitive. - Troubleshoot and resolve complex data-related issues to maintain
• system reliability. - Document data architecture designs and processes for future
• reference and compliance. - Engage with stakeholders to gather feedback and refine
• data solutions to better meet business objectives. - Ensure adherence to best practices
• and standards in data architecture and engineering. - Contribute to the strategic
• planning of data initiatives to align with company goals. - Drive innovation by exploring
• new tools and techniques to enhance data processing capabilities.
  
  

Qualifications:

Possess a strong understanding of PySpark and its application in data processing. - Demonstrate expertise in Azure Databricks and cloud-based data solutions. - Have a proven track record of designing scalable data architectures. - Show proficiency in optimizing data workflows for performance and cost. - Exhibit excellent problem-solving skills and attention to detail. - Display strong communication skills to effectively collaborate with teams. - Hold a degree in Computer Science, Information

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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