Big Data Architect

We seek an experienced Big Data expert to lead our Big Data platform's design, development, and maintenance. Collaborating with data engineers and Big Data Business Analysts across various platform layers, you'll demonstrate a commitment to collaborative problem-solving, sophisticated design, and delivering high-quality products.

Responsibilities:

• Facilitate and lead the roadmap and enhancements for the enterprise Big Data platform.
• Lead Data Engineers, Business Analysts, and BI engineers to architect and deliver the solutions that fulfill the Business information needs.
• Ensure the design, code, and procedural aspects of the solution are production-ready, in terms of operational, security, and compliance standards.
• Participate in day-to-day project and production delivery status meetings, and provide technical support for faster resolution of issues.
• Yearning for continuous learning and training/mentoring future big data developers and architects.

Qualifications:

• 14 years of experience in enterprise data architecture, integration, and analytics, with a proven track record of design and implementation of big data and analytics solutions in recent years.
• Experience in leading a team of Data Engineers and BI Developers.
• Bachelor’s degree in computer science or relevant field from an accredited college or university; Master’s degree from an accredited college or university preferred.
• Strong technical experience in the following: 
• Big data stack and solutions, including cloud technologies.
  • Data lake architecture, including data model design and implementation (incl. relational, dimensional, and No-SQL).
  • Enterprise Application and Data Integration design and implementation (e.g. ETL, messaging, replication, and APIs).
  • Telco Domain Experience
  • Azure Solutions Architect Certification
  • Azure Data Lake, Azure Data Factory, Databricks, Azure SQL, Apache NiFi, Azure Synapse, Power BI
• Awareness of Data management best practices (e.g. data quality, metadata management, data lineage).
• Awareness of Machine Learning techniques is nice to have

We have an amazing team of 700+ individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 5 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.

What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 certified. We have a vibrant culture of learning via collaboration and making the workplace fun.

People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. 

To know more about Confiz Limited, visit: https://web.facebook.com/lifeatconfiz