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Big Data Architect
2 weeks ago
Job Title: Big Data Architect
Company Description: We're looking for a skilled professional to lead the design, development, and optimization of our large-scale data processing systems.
Job Summary: As a seasoned big data architect, you will be responsible for designing scalable architectures and pipelines using Apache Spark and Python to process massive datasets efficiently. You will also develop and maintain workflow orchestration solutions using Apache Airflow to automate complex data processing tasks.
Key Responsibilities:
- Design and implement scalable data architectures and pipelines leveraging Apache Spark and Python to process large datasets efficiently.
- Develop and maintain workflow orchestration solutions using Apache Airflow to automate complex data processing tasks.
- Collaborate with data engineering, data science, and analytics teams to understand data requirements and translate them into robust architectural solutions.
- Define data standards, governance, and best practices to ensure data quality, security, and compliance.
- Optimize data storage and retrieval strategies across data lakes, warehouses, and streaming platforms.
- Evaluate new tools, frameworks, and technologies to improve data platform capabilities.
- Monitor and troubleshoot data pipeline performance issues, ensuring high availability and reliability.
- Document architectural designs, data flows, and operational processes.
- Mentor and guide junior data engineers and analysts on architectural best practices and technical skills.
- Work closely with cloud platform teams to integrate and deploy data solutions (e.g., AWS, Azure, or GCP).
Requirements & Qualifications:
- Strong programming skills in Python for data processing, scripting, and automation.
- Hands-on expertise in Apache Spark for batch and stream processing of large-scale datasets.
- Experience designing and managing workflows with Apache Airflow, including DAG development and monitoring.
- Solid understanding of data architecture principles, ETL/ELT design patterns, and distributed computing.
- Experience with relational and NoSQL databases, data lakes, and data warehouses.
- Familiarity with cloud data services and infrastructure (AWS, Azure, or GCP).
- Proficient in SQL and data modeling techniques.
- Knowledge of data governance, security practices, and compliance standards.
- Strong analytical, problem-solving, and communication skills.
- Ability to work collaboratively in cross-functional teams and mentor junior members.
Preferred Qualifications:
- Bachelors or Masters degree in Computer Science, Engineering, or related field.
- Experience with containerization and orchestration tools (Docker, Kubernetes).
- Familiarity with other data processing frameworks (Kafka, Flink).
- Exposure to machine learning pipelines and MLOps practices.
- Certifications related to Big Data, Cloud, or Data Architecture
Benefits:
- A competitive salary and benefits package.
- The opportunity to work with a talented team of professionals.
- A dynamic and fast-paced work environment.
- The chance to grow and develop your career in the field of big data.
Others:
- Our company values diversity and inclusion in the workplace.
- We are an equal opportunities employer.
- Apply now to join our team
