
Data Architect
21 hours ago
The ideal candidate for this position will possess a unique blend of technical expertise and business acumen.
- Design, develop, and maintain robust data pipelines and ETL workflows that meet the needs of stakeholders.
- Collaborate with cross-functional teams to deliver reliable, high-quality data systems that support analytics, insights, and data-driven decision-making.
- Ensure data accuracy, completeness, consistency, and governance across the organization.
- Develop strong relationships with key stakeholders to understand data requirements and provide expert guidance on data strategy.
- Optimize performance of data systems, queries, and storage solutions to ensure seamless data flow.
- Implement data quality monitoring and alerting systems to minimize data errors.
- Stay up-to-date with the latest trends in data engineering and cloud technologies to ensure our data infrastructure remains cutting-edge.
Requirements:
- Proven experience as a Data Architect or in a similar leadership 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).
- Bachelor's degree in Computer Science, Engineering, or a related field.
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