Dive deep into Digital! For 20 years Intellias has been developing top-tier digital solutions for the world’s leading companies, keeping them in line with the latest technology trends. Join in and provide innovations for the future!

What project we have for you:

Our client is a leading retirement product planning company in the US. They have performed a lift and shift migration of SQL Server 2008 into Azure SQL Database (MI) and have designed a new architecture based on cloud services.

Our project will help them validate and implement the new architecture based on cloud services.

What you will do:

• Develop and maintain the data architecture and roadmap aligned with the organization’s business goals and objectives.
• Collaborate with business stakeholders, data analysts, and technical teams to understand and analyze data requirements and translate them into data architecture solutions.
• Design and create conceptual, logical, and physical data models for various data domains.
• Evaluate and recommend appropriate data storage, integration, and processing. technologies, including data warehouses, data lakes, and cloud-based solutions.
• Collaborate with data engineering and development teams to implement data integration, and ETL/ELT processes.
• Define and implement data security and access controls to protect sensitive data and ensure compliance with data privacy regulations.
• Provide guidance and best practices to development teams for database design, optimization, and performance tuning.
• Stay up to date with emerging data technologies and trends and evaluate their potential impact on the organization’s data architecture.
• Collaborate with infrastructure and operations teams to ensure scalability, availability, and performance of data platforms and environments.
• Document data architecture artifacts, including data models, data flow diagrams, and system integrations.

What you need for this:

We are looking for a Data Architect / Principal Data Engineer to work on building a Databricks-based streaming data platform in Azure from scratch. This also includes building streaming data pipelines using Azure, python, Spark, Databricks and Snowflake.

• At least 5 years of overall data engineering experience.
• At least 1 years of experience with Azure (e.g. Functions, Event Hub).
• At least 2 years of experience with Databricks and Delta Lake.
• At least 2 years of experience with stream processing (e.g. Spark Streaming).
• Solid experience with python and SQL.
• Experience building DWH & data lakes.

Nice to have:

• Experience in Snowflake.

What it’s like to work at Intellias:

At Intellias, where technology takes center stage, people always come before processes. We’re dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.