Technical Architect - Data Engineering
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Job Description
Structured overview of role & requirementsAbout This Role
Lead and manage a team of data engineers across multiple projects and locations, ensuring delivery of cloud-based data warehouse solutions.
Define and oversee architecture, development, maintenance, and optimization of scalable, secure ETL/ELT pipelines using PySpark, Python, and SQL on cloud platforms.
Drive adoption and enhancement of internal data tools, enforce best practices including CI/CD, and manage vendor and strategic partnerships related to data infrastructure.
Minimum Requirements
10-16 years of data engineering experience focusing on cloud-native data solutions.
Proficient in Python, PySpark, SQL, and experienced with cloud platforms (AWS, Azure, or GCP) and related data services.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Experience with orchestration tools like Apache Airflow and knowledge of BI tools (Power BI, Tableau).
Ideal Candidate Profile
Experienced leader with a track record of managing distributed teams and delivering complex data engineering projects.
Strong technical architect with focus on scalable cloud data warehouses and hands-on expertise in PySpark and cloud services.
Strategic collaborator comfortable working with business, analytics, and product teams to translate requirements into actionable solutions.