Are You the Data & AI Architect We're Looking For?

Overview

Do you love working with data and AI? Do you enjoy building cloud-based solutions that can handle massive amounts of data and deliver insights in real time? Do you have a knack for designing and implementing architectures that are scalable, reliable, and secure?
If you answered yes to these questions, then you might be the perfect fit for our team! We are Serverless Solutions, a leading provider of cloud-based solutions for data streaming and analysis. We work with a variety of tools and platforms, such as Azure, Google Cloud, Databricks, Apache Kafka, Apache Beam, C#, Python, and SQL Server.
We are looking for a talented and experienced modern data warehouse and AI architect to join our team and help us create awesome solutions for our clients. You will work with other architects, developers, and business stakeholders to deliver high-quality solutions that meet their needs and expectations.
You will also mentor and coach more junior team members and share your knowledge and best practices. You will be a key player in our team and help us shape our culture and vision.

Responsibilities

As a modern data warehouse and AI architect, you will:

Work with clients to identify platform options, tradeoffs, costs, and determine the ideal platform for their needs.
Create technical designs and architectural solutions for modern data warehouse and AI projects.
Define and communicate requirements for IT and business stakeholders.
Collaborate with other architects and developers to ensure alignment and integration of solutions.
Mentor and help more junior team members to grow their skills and capabilities.
Get your hands dirty with cloud-based solutions using various tools and technologies.
Ensure quality and performance of solutions through testing and optimization.
Stay up-to-date with modern technologies and practices and apply them to solve business problems.

Requirements

To be a successful modern data warehouse and AI architect, you need:

8+ years of data/business intelligence experience, preferably in cloud-based environments.
Strong knowledge of best practice patterns and architectures for modern data warehouse and AI solutions.
Expertise in Databricks on Azure, FiveTran for data ingestion and DBT for data transformation and modeling.
Strong understanding of the vendors and applications
Strong knowledge of testing methodologies and best practices for data-intensive applications.
Knowledge of SQL Server and backend development.
Understanding of modern architecture and dev practices, such as microservices, serverless, CI/CD, etc.
Experience working in an Agile or Scrum development environment.
Bachelor's degree in computer science or equivalent experience.
Self-directed and capable of working effectively in a fast-paced environment.
Require candidates located in Houston, Texas.

Desired Skills

It would be awesome if you also have:

Experience with Azure and/or Google Cloud and their data and AI services, such as Azure Fabric, Azure Event Hub, Azure IoT Hub, Azure Stream Analytics, Azure Data Explorer, Azure Data Factory, Google Dataflow, Google PubSub, etc.
Expertise with Bigdata including Spark and Delta Lake.
Experience with real-time analytics and streaming data solutions.
Experience with Apache Kafka and Apache Beam or similar tools for real-time data streaming and processing.
Experience with Snowflake
Proficiency in C#, Python, or both.
Experience with DocumentDB, JSON, or similar data formats.

What To Expect

If you join our team, you can expect:

To be part of a financially stable but fast-growing company.
To be a critical part of our future and help shape our culture.
To work hard, but respect family life and maintain a healthy work/life balance.
To receive competitive compensation and benefits, as well as opportunities for learning and career advancement.
To value relationships over transactions and apply data-centric strategies to solve specific business challenges.
To be thrown “into the fire” and be expected to help us solve our clients’ problems

Job Type: Full-time

Pay: $120,000.00 - $175,000.00 per year

Benefits:

Schedule:

Experience:

Ability to Commute:

Work Location: In person

Serverless Solutions LLC

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