Cloud Data Architect
2 days ago
About Us
At OSD Data Services, we're revolutionizing data engineering by empowering organizations with unified, scalable, and seamless data infrastructure.
We pride ourselves on being at the forefront of cutting-edge technologies, combining a passion for innovation with a commitment to solving real-world data challenges. As a Data Platform Engineer, you'll have the chance to work with transformative tools like Spark, Kafka, Kubernetes, and Trino, shaping the future of data infrastructure for businesses across industries.
This role offers the unique opportunity to work on complex, petabyte-scale projects, collaborating with talented teams to build data platforms that deliver real-time insights, support advanced analytics, and integrate seamlessly with AI technologies.
Key Responsibilities
- Design and Development: Architect and implement scalable Data Lakehouse Platforms using open-source technologies.
- Pipeline Optimization: Develop and optimize data pipelines for both real-time and batch processing with tools like Spark and Airflow.
- Storage and Format Management: Implement modern storage formats such as Apache Iceberg, Hudi, or Delta Lake, ensuring efficient data storage and retrieval.
- Orchestration and Deployment: Manage deployment and orchestration using Kubernetes and Docker across cloud (AWS, GCP, Azure) or on-prem environments.
- Data Governance: Establish and maintain robust governance practices, including database CDC replication and lineage tracking.
- Analytics Integration: Support interactive dashboards and analytics tools, enabling data-driven decisions.
- Performance Tuning: Monitor system performance and implement optimizations to ensure scalability and cost-efficiency.
What You'll Bring
- 3+ years of experience in data platform engineering, with expertise in open-source tools and cloud technologies.
- Strong understanding of distributed computing frameworks like Spark and query engines like Trino or Presto.
- Proficiency in containerization and orchestration technologies (Docker, Kubernetes).
- Hands-on experience with cloud platforms (AWS, GCP, Azure) and hybrid/on-prem infrastructure.
- Familiarity with ETL/ELT workflows, CDC replication tools, and modern data storage solutions.
- Proficiency in programming languages like Python, Java, or Scala.
Salary: $120,000 - $180,000 per year
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