Chief Data Engineering Architect
hace 4 días
About Aitopics
Aitopics exists to make software work perfectly. Our mission is to innovate faster, operate more efficiently, and drive better business outcomes with our cutting-edge platform.
At Aitopics, Information Systems Engineering plays a vital role in transforming data into actionable information for decision-makers. We manage and transform data into valuable insights through assessment, design, acquisition, and/or implementation of tools, stores, and pipelines.
We are seeking a Lead Data Engineer - Snowflake Expert who will provide key technical direction and hands-on effort with a small team of data engineers supporting our Business Intelligence function. As a core member of our team, you will direct and help implement transformative pipelines of business data into our Snowflake environment.
The ideal candidate will have significant experience with Snowflake, Snowpark, and Spark using Python. You will demonstrate technical leadership of at least a small team of data engineers, including mentoring and upskilling more junior members of the team.
Main Responsibilities:
- Lead the design, implementation, and maintenance of scalable data pipelines in the Snowflake ecosystem, including third-party vendor tools such as AWS, Fivetran, etc.
- Be a key contributor to our Data Engineering strategy to ensure efficient data management for operations and enterprise analytics.
- Serve as a key technical expert for business stakeholder engagement on business data initiatives.
- Collaborate with colleagues in Data Modeling, BI, and Data Governance teams for platform initiatives.
- Provide the technical interface to data engineering vendors.
- Evaluate and recommend new data technologies and tools to improve data engineering processes and outcomes.
Qualifications:
- Significant experience in a hands-on data engineering role, especially in relation to business operations data.
- Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.
- Experience managing stakeholder engagement, collaborating across teams, and working on multiple simultaneous projects.
- Extensive experience acquiring data from REST APIs.
- Strong background in Python/Spark programming, with the ability to write efficient, maintainable, and scalable data pipeline code.
- Solid understanding of data warehousing, data lakes, MPP data platforms, and data processing frameworks.
- Strong understanding of database technologies, including SQL and NoSQL databases.
Estimated Salary Range: $120,000 - $180,000 per year, depending on location and experience.
Why Work with Us?
We offer a dynamic work environment, opportunities for growth and development, and a competitive salary and benefits package.
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