Cloud Data Architect Lead
hace 5 horas
Overview
Northeading Technologies is a cutting-edge company that leverages innovative data solutions to drive business growth. We are seeking an experienced Cloud Data Architect Lead to join our team.
About the Role
The Cloud Data Architect Lead will play a pivotal role in shaping our data architecture strategy, focusing on cloud-based data transformation, governance, quality, and standards. This position requires strong expertise in developing architecture plans, collaborating with stakeholders, and implementing cloud data solutions.
Key Responsibilities:
- Data Architecture Strategy Development: Collaborate with business and IT teams to develop and maintain data architecture plans aligned with business and IT strategies.
- Cloud Data Solutions Implementation: Lead the design and implementation of cloud data solutions, including data lakes, warehouses, and marts.
- Data Quality and Governance: Ensure data quality, consistency, and governance throughout the organization.
- Technical Specifications: Translate business requirements into technical specifications for junior data architects and analysts.
- Professional Growth: Stay up-to-date with emerging data technologies and trends, and mentor junior team members.
Requirements:
- Experience: 10+ years of experience in data architecture, with a strong focus on cloud data architecture.
- Architecture Strategies: Hands-on experience with developing architecture strategies and roadmaps.
- Big Data Technologies: Expertise in big data technologies such as Hadoop, Spark, Cloudera, Hive, and Kafka.
- Collaboration and Communication: Proven ability to work independently and as part of a team, with excellent communication and interpersonal skills.
- Problem-Solving and Analytical Skills: Strong problem-solving and analytical skills.
Preferred Qualifications:
- Certifications: Certifications such as Certified Data Architect (CDA), Certified Cloud Architect (CCA), or Certified Data Management Professional (CDMP) are nice to have.
- Cloud Platforms: Experience with specific cloud platforms like Azure or AWS is also beneficial.
- Data Modeling and Warehousing: Knowledge of data modeling and warehousing concepts can be advantageous.
Benefits:
- Competitive Salary and Benefits: A competitive salary and benefits package is offered.
- Remote Work Flexibility: Remote work flexibility is available.
- Challenging Projects: The opportunity to work on challenging and rewarding projects is provided.
- Professional Growth Opportunities: Professional development and growth opportunities are available.
Estimated Annual Salary: $180,000 - $220,000 based on industry standards.
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