JOB SUMMARY:
We are seeking a talented Big Data Architect to lead the design and implementation of our big data solutions. In this role, you will collaborate closely with cross-functional teams to define requirements, develop solutions, and optimize data architecture frameworks. You’ll be instrumental in driving innovation and efficiency through advanced data analytics and machine learning capabilities
RESPONSIBILITIES AND DUTIES:
- Design and implement scalable big data architecture solutions that align with business objectives and technical requirements.
- Develop and maintain data models, ensuring data quality, consistency, and integrity across large-scale data environments.
- Lead efforts in data integration, migration, and transformation across diverse platforms and systems.
- Evaluate and recommend big data technologies and tools to enhance data processing and analytics capabilities.
- Collaborate with data engineers, analysts, and business stakeholders to optimize data workflows and support data-driven decision-making.
- Provide technical leadership and mentorship to junior team members, promoting best practices in big data architecture and engineering.
FAQs:
1. What does a Big Data Architect do?
- As a Big Data Architect at [Company Name], you will be responsible for designing and implementing scalable big data architecture solutions. This includes defining data models, integrating and migrating data across platforms, and optimizing data processing and analytics capabilities. You’ll collaborate closely with cross-functional teams to ensure data quality, consistency, and integrity while supporting business objectives with advanced data-driven insights.
2. What qualifications and experience are required for the Big Data Architect position?
- We are looking for candidates with proven experience as a Big Data Architect or in a similar role, demonstrating expertise in designing and implementing complex big data solutions. Essential skills include proficiency in big data technologies such as Hadoop, Spark, Kafka, and others, along with hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). A Bachelor’s degree in Computer Science, Engineering, or a related field is required, with a Master’s degree preferred.
3. What skills are important for success in this role?
- Key skills include deep knowledge of big data technologies and architectures, proficiency in programming languages (Python, Java, Scala), expertise in data warehousing, data lakes, and ETL processes, strong analytical and problem-solving abilities, and effective communication skills to collaborate with technical and non-technical stakeholders. Leadership skills to mentor junior team members and promote best practices in big data architecture are also crucial.
4. How does company support ongoing learning and development for its Big Data Architects?
- We prioritize continuous learning and development. We offer opportunities for training, workshops, and certifications to enhance technical skills and stay abreast of industry trends. We encourage participation in conferences, webinars, and community events related to big data architecture and technology.
5. What types of projects and challenges can I expect to work on as a Big Data Architect?
- As a Big Data Architect, you will lead projects focused on designing and implementing scalable big data solutions. You’ll tackle challenges related to real-time streaming data architectures, optimizing data workflows, and integrating diverse data sources to support advanced analytics and machine learning initiatives.