Cloud Data Architect
Job Summary
Job Description
Ness Digital Engineering seeks an experienced Cloud Data Architect to design and implement enterprise-scale data solutions using modern cloud technologies. Responsibilities include designing scalable cloud data architectures using platforms like Snowflake and Databricks, developing data models, implementing automated data pipelines, optimizing data storage and query performance, establishing RBAC and security protocols, leading cloud migrations, and collaborating on ETL/ELT processes. The ideal candidate possesses 8+ years of data architecture experience (3+ in cloud), expertise in cloud-native data warehousing, proficiency in SQL and languages like Python or Scala, and a strong understanding of data warehousing concepts, data pipeline architecture, and data governance.
Must have:
- 8+ years data architecture experience (3+ in cloud)
- Expertise in cloud-native data warehousing (Snowflake, Databricks)
- Proficiency in SQL, Python, or Scala
- Data warehousing concepts and dimensional modeling
- Data pipeline architecture (batch and stream processing)
- Data governance frameworks and best practices
Good to have:
- Relevant cloud data platform certifications
- Experience with data mesh or data fabric architectures
- Knowledge of machine learning integration patterns
7 skills required
Job Details
Description
At Ness Digital Engineering, we enable global enterprises to achieve their digital transformation goals through innovative IT consulting. As part of our Cloud and Data practice, we deliver strategic guidance and cutting-edge solutions in cloud mobility, software modernization, and automation.
We are a team of problem-solvers, architects, and strategists who thrive on tackling complex business challenges with technology. As an AWS Premier Consulting Partner, we pride ourselves on our collaborative, transparent, and client-focused culture.
We are a team of problem-solvers, architects, and strategists who thrive on tackling complex business challenges with technology. As an AWS Premier Consulting Partner, we pride ourselves on our collaborative, transparent, and client-focused culture.
Position Overview
We are seeking an experienced Cloud Data Architect to design and implement enterprise-scale data solutions using modern cloud technologies. The ideal candidate will architect robust data systems leveraging cloud-native platforms while ensuring optimal data modeling and pipeline efficiency.
Key Responsibilities
- Design scalable cloud data architectures using modern data warehousing and analytics platforms
- Develop logical and physical data models for structured and semi-structured data
- Design and implement automated data pipelines for efficient data processing
- Optimize data storage and query performance in cloud environments
- Establish role-based access controls (RBAC) and security protocols for cloud data systems
- Lead cloud migration initiatives from legacy systems to modern data platforms
- Collaborate with engineering teams to implement ETL/ELT processes
Required Qualifications
- 8+ years in data architecture with 3+ years cloud-focused experience
- Expertise in cloud-native data warehousing and analytics platforms (e.g., Snowflake, Databricks)
- Proficiency in SQL optimization and data processing languages (e.g., Python, Scala)
- Strong understanding of:
- Data warehousing concepts and dimensional modeling
- Data pipeline architecture (batch and stream processing)
- Data governance frameworks and best practices
Preferred Qualifications
- Relevant cloud data platform certifications
- Experience with data mesh or data fabric architectures
- Knowledge of machine learning integration patterns in cloud platforms
Technology Stack Cloud Data Warehouses | Data Lakes | Python | SQL | Cloud Platforms (AWS/Azure/GCP) | Data Modeling Tools | ETL/ELT Tools | Business Intelligence Platforms
This role requires strategic thinking to align data infrastructure with business objectives while maintaining hands-on technical capabilities for solution implementation. Successful candidates will demonstrate expertise in modern cloud data platforms combined with a deep understanding of data modeling principles and pipeline optimization techniques.
Why Join Us?
At Ness, you’ll work in a dynamic, supportive environment where you can leverage your consulting skills to drive meaningful change. If you thrive in customer-facing roles and enjoy tackling complex challenges with innovative solutions, we’d love to hear from you.
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