Technical Architect - Data Engineering (3-8 yrs)

Overview :

The Technical Architect Data Engineer plays a pivotal role in shaping the data strategy of an organization. This position is crucial for bridging the gap between data architecture and engineering, ensuring the effective design and implementation of data solutions.

- By leveraging advanced technologies and methodologies, the Technical Architect Data Engineer is responsible for crafting robust data pipelines and architecture that aligns with business requirements.

- This role requires not only technical acumen but also a strong understanding of data modeling, data integration, and cloud technologies.

- The ideal candidate possesses a combination of strategic vision and hands-on engineering skills, enabling them to lead projects from conception through deployment, while fostering innovation and optimizing performance.

- In a data-driven world, the insights provided by the Technical Architect Data Engineer will ensure that the organization can harness the full potential of its data assets, ultimately driving more informed decision-making and adding significant value to the business.

Key Responsibilities :

- Design and implement scalable data architecture solutions.

- Develop data ingestion pipelines using ETL tools.

- Collaborate with stakeholders to understand data needs and requirements.

- Ensure data governance and compliance throughout the architecture.

- Optimize data storage and retrieval performance.

- Assess and integrate big data technologies and platforms.

- Create and maintain documentation for data architecture and processes.

- Guide and mentor data engineering teams in best practices.

- Conduct performance tuning and optimization for data systems.

- Evaluate and recommend new data technologies and tools.

- Implement data security protocols and practices.

- Manage and oversee data migration tasks.

- Develop monitoring and alerting dashboards for data systems.

- Collaborate with software engineers to enable seamless data integration.

- Keep abreast of industry trends and advancements in data engineering.

Required Qualifications :

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- 10+ years of experience in data engineering, architecture, or a related role.

- Strong expertise in data modeling and ETL processes.

- Experience with cloud platforms (AWS, Azure, GCP).

- Proficient in SQL and NoSQL databases.

- Familiarity with big data technologies (Hadoop, Spark, etc.).

- Previous experience in data warehousing concepts and design.

- Knowledge of programming languages (Python, Java, Scala).

- Excellent problem-solving and analytical skills.

- Strong verbal and written communication abilities.

- Experience in leading cross-functional teams.

- Ability to work in Agile development environments.

- Proven track record of successful data projects.

- Understanding of data governance practices.

- Certifications in data engineering or cloud platforms are a plus.

- Ability to adapt to changing technologies and methodologies.