Key Responsibilities:
Architect scalable data processing and analytics solutions for big data storage, processing, and consumption.
Clearly, articulate the pros and cons of various technologies and platforms while proposing solutions.
Prior experience on cloud platform (AWS/Azure/GCP)
Define architecture, blueprints/patterns, accelerators interoperability standards.
Define data security and data privacy standards for solutions.
Drive the evolution of data architecture.
Lead architectural discussions and design workshops with internal stakeholders.
Create technical documentation.
About You:
You have a bachelors degree in STEM.
You have more than 5+ years of data engineering experience, and 3+ years as a data architect.
Extensive hands-on experience in leading large-scale full-cycle enterprise data warehousing (EDW), BI reporting, and dashboard development projects.
You understand the latest database and analytical technologies including data lake/lakehouse architectures and NoSQL storage.
You have a strong understanding of data modelling techniques and are experienced in building domain data models.
You have hands-on experience with designing and tuning ETL/ELT pipelines.
You bring along your excellent SQL and strong hands-on scripting ability.
You have already planned data governance and data security practices. Experience in semantic and metamodeling is a plus.
Confidence with Microsoft Azure (or AWS, GCP) platform.
Prior engineering experience using modern programming languages (Python, Scala, Java, etc.) is a big plus.
Prior experience with designing on-demand analytics systems is a plus.
Prior exposure to Databricks is good to have.
We look forward to receiving your application!