Cloud Solutions and data Architect

Axiom

San Jose, United States of America

5 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Job location

San Jose, United States of America

Tech stack

Azure

Big Data

Cloud Database

Databases

Data as a Services

Data Architecture

Information Engineering

Data Security

Data Warehousing

Distributed Systems

Entity Relationship Models

Hadoop

MapReduce

Python

Microsoft Visio

Performance Tuning

Cloud Services

Lucidchart

Azure

SQL Databases

Systems Architecture

Scripting (Bash/Python/Go/Ruby)

Spark

Data Lake

Information Technology

Data Management

Data Pipelines

Databricks

Job description

The Data and Cloud Solutions Architect will be a key contributor to designing, evolving, and optimizing our company's cloud-based data architecture. This role requires a strong background in data engineering, hands-on experience building cloud data solutions, and a talent for communicating complex designs through clear diagrams and documentation. Must work EST hours. Core Responsibilities

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.
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.

Requirements

4 Year Bachelor's 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).