Senior Data Architect
hace 3 semanas
We are seeking an experienced Senior Data Engineer to lead our cloud-based data engineering initiatives. This role will be responsible for designing, building, and maintaining scalable and robust data pipelines to support analytics and machine learning models.
Key Responsibilities- Design and implement scalable data architectures on cloud infrastructure leveraging tools such as Apache Airflow, Databricks, DBT, and Snowflake.
- Leverage real-time data processing capabilities using Apache Kafka and AI implementation to enhance data-driven decision making.
- Collaborate with cross-functional teams to understand product feature requirements and design data engineering solutions to meet business needs.
The ideal candidate will have a strong background in data engineering, experience working with cloud-based infrastructure, and excellent communication skills to effectively collaborate with stakeholders.
Requirements- Minimum 5 years of experience deploying enterprise-level scalable data engineering solutions.
- Strong understanding of data modeling, data warehousing, and ETL/ELT processes.
- Experience with cloud-based platforms such as AWS (S3, DynamoDB, EMR), Azure, or Google Cloud.
- Proficiency in programming languages such as Python, Java, or Scala.
- Familiarity with big data processing frameworks such as Hadoop, Spark, or Flink.
This is a full-time position based in the United States, with an estimated salary range of $150,000 - $200,000 per year, depending on experience. The company offers a competitive benefits package, including health insurance, retirement plan, and paid time off.
Please note that this is a unique opportunity to join a dynamic team and contribute to the growth of our organization. We are committed to diversity and inclusion, and we encourage candidates from diverse backgrounds to apply.
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