
Data Infrastructure Specialist
5 days ago
Job Title: Data Architect
About the Role:
We are seeking an experienced data architect to join our team. In this role, you will be responsible for designing and developing scalable data pipelines and infrastructure that support real-time and batch data processing.
You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to deliver reliable, high-quality data systems that power analytics, insights, and data-driven decision-making.
Key Responsibilities:
- Design, develop, and maintain robust data pipelines and ETL workflows
- Build and manage scalable data architectures and cloud-based infrastructure
- Ensure data accuracy, completeness, consistency, and governance
- Collaborate with analytics and engineering teams to understand data needs
- Optimize performance of data systems, queries, and storage solutions
- Implement data quality monitoring and alerting systems
- Create and maintain comprehensive documentation for data workflows and schemas
- Stay up-to-date with the latest trends in data engineering and cloud technologies
Requirements:
- Proven experience as a Data Architect or in a similar data infrastructure role
- Strong programming skills in languages such as Python, Java, or Scala
- Proficient in SQL and experienced with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases
- Experience with data processing frameworks like Apache Spark,Hadoop, Kafka, or Flink
- Hands-on experience with cloud platforms such as AWS, Google Cloud Platform, or Azure
- Familiarity with modern data warehousing tools (e.g., Snowflake, Redshift, BigQuery)
- Experience with orchestration tools like Airflow, Luigi, or Prefect
- Understanding of data security, privacy, and compliance practices (e.g., GDPR, HIPAA)
- Strong problem-solving skills and attention to detail
- Bachelor's degree in Computer Science, Engineering, or a related field
Preferred Qualifications:
- Experience with CI/CD pipelines and version control (Git)
- Exposure to machine learning pipelines and model deployment
- Advanced certifications in cloud or big data platforms
What We Offer:
- Opportunities to work on high-impact projects and scalable data systems
- A collaborative and innovation-driven work environment
- Support for continuous learning and career growth
- A diverse and globally distributed team
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