Data Architect (Azure, Data Lake)

Data Architect

LehiUtah OR San Jose(Onsite role)

Contract-6 Months

Cloud Data Architecture Design & Strategy :

Design and implement secure scalable cloud-based data pipelines data warehouses and data lakes.

Drive the selection and integration of cloud data services (e.g. storage databases analytics tools).

Develop comprehensive cloud data strategies in alignment with business goals.

Candidates must have demonstrated experience designing and owning an end-to-end data platform from scratch including data ingestion storage processing and consumption layers and be able to clearly explain how these components interact.

Distributed data processing is critical especially Spark fundamentals.

Candidates must demonstrate real hands-on experience not just theoretical or surface-level exposure.

Diagramming & Documentation :

Produce clear and informative visual diagrams (e.g. data flow diagrams entity-relationship diagrams system architecture diagrams) to guide implementation and knowledge sharing.

Maintain detailed documentation of data architecture design decisions and processes.

Hands-on Implementation & Optimization :

Actively contribute to the hands-on implementation of cloud data solutions.

Proactively identify and implement performance optimization strategies for cloud data systems.

Troubleshoot and resolve issues related to data pipelines data quality and data accessibility.

Required Qualifications

Bachelors degree in Computer Science

Minimum of 5 years of hands-on data engineering experience using distributed computing approaches (Spark Map Reduce DataBricks)

Proven track record of successfully designing and implementing cloud-based data solutions in Azure

Deep understanding of data modeling concepts and techniques.

Strong proficiency with database systems (relational and non-relational).

Exceptional diagramming skills with tools like Visio Lucidchart or other data visualization software.

Preferred Qualifications

Advanced knowledge of cloud-specific data services (e.g. DataBricks Azure Data Lake).

Expertise in big data technologies (e.g. Hadoop Spark).

Strong understanding of data security and governance principles.

Experience in scripting languages (Python SQL).

Key Skills

Fund Management,Drafting,End User Support,Infrastructure,Airlines,Catia

Employment Type : Full Time

Experience : years

Vacancy : 1