BIG DATA-ARCHITECT Job Description Template
As a Big Data Architect, you will design and implement highly scalable data architectures to support large-scale data processing. You will be responsible for ensuring the data infrastructure is secure and resilient, while also collaborating with various stakeholders to meet data requirements and drive business insights.
Responsibilities
- Design and develop scalable big data architectures.
- Collaborate with data scientists and analysts to define data requirements.
- Ensure the security and compliance of the data architecture.
- Optimize data pipelines for performance and reliability.
- Integrate data from various sources and ensure data consistency.
- Mentor and guide junior engineers and developers.
- Stay updated with the latest trends and technologies in big data and cloud computing.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Proven experience as a Big Data Architect or similar role.
- Strong understanding of big data frameworks and architectures.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
Skills
- Hadoop
- Spark
- NoSQL databases (e.g. Cassandra, MongoDB)
- Cloud platforms (AWS, Google Cloud, Azure)
- SQL
- Python
- Java
- Scala
- Data warehousing solutions (e.g., Redshift, BigQuery)
- Data pipeline tools (e.g., Apache NiFi, Kafka)
Frequently Asked Questions
A Big Data Architect is responsible for designing and managing the architecture of large-scale data processing systems. They ensure the alignment of data architecture with business goals and work on building infrastructures that facilitate data analytics, storage, and retrieval. Utilizing frameworks like Hadoop and Spark, they streamline data processing and maintain the scalability of systems.
To become a Big Data Architect, one typically needs an extensive background in computer science or related fields, with a focus on data management and systems architecture. Proficiency in programming languages like Java, Python, or Scala, and experience with big data technologies like Hadoop, Spark, and Kafka is essential. Usually, professionals move into the role after gaining experience as data engineers or analysts.
The average salary for a Big Data Architect varies based on factors like experience, location, and industry. However, it typically falls within a high-income bracket, reflective of the specialized skills and demand for the role. Data architects often receive compensation packages that include bonuses, stock options, and other incentives due to their critical role in managing a company's data strategy.
A Big Data Architect typically requires a degree in computer science or a related field, along with certifications in big data technologies. Professional qualifications like Cloudera Certified Professional (CCP) or AWS Certified Big Data - Specialty can significantly enhance a candidate's credentials. Practical experience in data architecture, as well as a solid understanding of data governance and security, is crucial.
Big Data Architects must possess strong analytical skills, expertise in data warehousing solutions, and proficiency in big data platforms like Hadoop and Spark. Their responsibilities include developing scalable data processing systems, ensuring data quality, and collaborating with data scientists and business stakeholders to support analytics needs. Communication skills are also vital for navigating complex architectural discussions and stakeholder interactions.