Senior Data Architect and Engineering Lead
2 days ago
Foilcon is a forward-thinking organization seeking an experienced Senior Data Architect and Engineering Lead to drive the development of our data infrastructure. This role offers a unique opportunity to shape the future of our company's data architecture and engineering practices.
Job SummaryWe are looking for a highly skilled Senior Data Architect and Engineering Lead to join our team. In this role, you will be responsible for designing, implementing, and managing large-scale data architectures, as well as leading a team of engineers in the development of data pipelines and systems.
Key Responsibilities:Data Architecture and Engineering- Design and implement large-scale data architectures that meet business requirements and ensure scalability, performance, and reliability.
- Lead a team of engineers in the development of data pipelines and systems, ensuring timely delivery and high-quality results.
- Collaborate with cross-functional teams to understand business needs and develop solutions that meet those needs.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with technologies like Hadoop, Spark, or Kafka.
- Ability to develop, construct, maintain, and manage data pipelines.
- Expertise in transforming raw data into useful formats and ensuring data quality.
- Ability to monitor and optimize the performance of data systems.
- Expertise in designing, constructing, maintaining, and troubleshooting data architectures.
- Knowledge of various storage technologies and solutions, including SQL and NoSQL databases.
- Experience integrating data from multiple sources, including external databases and APIs.
- Ability to design systems that can handle large-scale data efficiently.
- Ability to work closely with data scientists, analysts, and other stakeholders to understand and address their data needs.
- Strong verbal and written communication skills to effectively convey technical information to non-technical stakeholders.
- Experience working in cross-functional teams and contributing to collaborative projects.
- Ability to troubleshoot issues and provide solutions in a collaborative environment.
- 3+ years of experience in data architecture and engineering.
- Technical proficiency in programming languages such as Python, Java, or Scala.
- Experience with technologies like Hadoop, Spark, or Kafka.
- Expertise in transforming raw data into useful formats and ensuring data quality.
- Ability to monitor and optimize the performance of data systems.
The salary for this position is estimated to be around $125,000 - $150,000 per year, based on industry standards and the level of experience required. This figure may vary depending on individual circumstances and qualifications.
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