Technical Lead - Big Data Architect Job Description Template
As a Technical Lead - Big Data Architect, you will be at the forefront of our big data initiatives, guiding architectural designs and ensuring the successful deployment of scalable data solutions. You will collaborate with stakeholders to translate business requirements into technical solutions and lead a team of engineers focused on building state-of-the-art big data systems.
Responsibilities
- Design and implement big data architectures that are scalable, reliable, and secure.
- Lead a team of engineers in developing, deploying, and maintaining big data solutions.
- Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
- Provide technical leadership and mentoring to team members.
- Ensure best practices in data management, including data quality, governance, and security.
- Drive continuous improvement in data processing, streaming, and storage technologies.
- Conduct performance tuning and optimization of big data solutions.
- Stay up-to-date with the latest tools, technologies, and trends in the big data ecosystem.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in data architecture and engineering, with at least 3 years in a leadership role.
- Proven experience with big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases.
- Strong knowledge of data warehousing solutions and ETL processes.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Excellent problem-solving skills and the ability to work under pressure.
- Strong communication and interpersonal skills.
Skills
- Hadoop
- Spark
- Kafka
- NoSQL
- Data Warehousing
- ETL
- AWS
- Azure
- Google Cloud
- Data Governance
- Data Security
- Performance Tuning
Frequently Asked Questions
A Technical Lead - Big Data Architect oversees the architecture and implementation of big data solutions across an organization. This role involves designing, building, and optimizing scalable data processing frameworks, ensuring they meet both current and future business needs. They collaborate with stakeholders, manage a team of engineers, and deploy data models & algorithms to extract actionable insights. This position requires deep understanding of big data technologies such as Hadoop, Spark, and data lakes, enabling the seamless integration of data strategies within IT infrastructures.
To become a Technical Lead - Big Data Architect, one typically begins with a degree in Computer Science, Information Technology, or a related field. Most professionals gain extensive experience in data engineering or analysis, progressing through roles such as Data Engineer or Data Scientist. To advance, candidates should master big data technologies like Hadoop, Spark, and Kafka. Leadership skills and project management experience are crucial, as are certifications in cloud platforms such as AWS or Azure. Continuous learning through workshops and online courses can further enhance skills necessary for this dynamic role.
The average salary for a Technical Lead - Big Data Architect can vary significantly depending on industry, location, and experience. Generally, this role commands a competitive salary, reflecting its specialized skill set and leadership responsibilities. In tech hubs or major cities, compensation may be higher due to demand for expertise in big data solutions and the critical nature of such roles in driving organizational growth. Comparing salaries across regions and industries can provide a clearer picture of potential earnings in this position.
A Technical Lead - Big Data Architect often requires a combination of formal education and extensive practical experience. A bachelor's degree in a relevant field like Computer Science or Information Technology is commonly expected, while a master's degree can be advantageous. Practical experience with data architectures, big data tools, and technologies, including Hadoop, Spark, and cloud platforms, is essential. Certifications such as AWS Certified Big Data - Specialty or Cloudera Certified Professional Data Engineer can further validate expertise and enhance employability in this competitive field.
Skills required for a Technical Lead - Big Data Architect include proficiency in big data frameworks (Hadoop, Spark), cloud platforms (AWS, Azure), and data modeling. Leadership and communication skills are crucial for managing teams and projects. Responsibilities include designing scalable data architectures, integrating data solutions, and leading data strategy implementation. This role demands innovation, problem-solving prowess, and the ability to collaborate with cross-functional teams, ensuring data systems align with organizational goals while driving efficiency and insight generation.