
Data Architect for Scalable Analytics Solutions
2 days ago
Job Title: Data Architect for Scalable Analytics Solutions
We are seeking a skilled data architect to design and build robust, scalable, and high-quality data analytics solutions.
Key Responsibilities:
1. Data Pipeline Design & Development
Design and build scalable data pipelines that support business intelligence and machine learning workflows.
• Integration of structured and unstructured data from various sources into data lakes and warehouses.
• Develop and maintain ETL/ELT pipelines for batch and streaming data using cloud-native technologies.
2. Cloud Platform Engineering
Operationalize data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies.
• Manage environments, performance tuning, and configuration for cloud-native data solutions.
3. Data Governance & Security
Ensure data integrity, privacy, and compliance through governance practices and secure schema design.
4. Collaboration & Agile Delivery
Work closely with cross-functional teams to translate requirements into technical solutions.
• Participate in Agile ceremonies, sprint planning, and DevOps practices for continuous integration and deployment.
Requirements:
• 7+ years of experience designing, developing, and deploying scalable enterprise data analytics solutions.
• Proficiency in SQL and any one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA).
• Strong experience with cloud platforms (AWS, Azure) and containerization technologies (Docker, Kubernetes).
• Familiarity with security best practices in DevOps and ML Ops.
• Ability to translate business needs into potential analytics solutions.
About the Role:
This role requires a strong understanding of data architecture principles and experience working with large datasets.
Benefits:
A competitive salary and benefits package.
What We Offer:
A dynamic work environment and opportunities for growth and development.
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