Senior Data Engineer/Architect

Our marquee client seeks a highly skilled Senior Data Engineer/Architect for a permanent, full-time role.

As a Senior Data Engineer/Architect you will lead the charge in building our client's next-generation data platform. This role is perfect for someone who thrives in a hands-on environment but also possesses a strong understanding of data architecture principles. You'll be leveraging your expertise in Microsoft technologies, ideally with experience in Azure Fabric or similar cloud data platforms. While senior-level experience is required, a willingness to adapt and embrace new technologies is equally important in advancing our client's data infrastructure; ensuring solutions are scalable, reliable, and efficient. You'll tackle complex data challenges and contribute to building a robust platform that empowers data-driven decision-making.

Location: This position is 100% remote and the person can be located in Ontario, Quebec or surrounding area with occasional travel to New Jersey. Monthly travel at first and then will be reduced.

Salary/Compensation: varies and depends on experience. They are looking for someone experienced but hands on

What you will do:

• Architect and lead the implementation of Microsoft Fabric, delivering modern data solutions through hands-on experimentation, evaluation, and design. Experience with MS Fabric is nice to have, but the client recognizes it's new, so something such as Power BI, MS Products, etc will suffice.
• Develop data importation tools and create scripts, programs, and functions to serialize and normalize ingested data across various databases (SQL, FTP, EDR, Mongo, etc.).
• Design data models for normalization, ensuring a common and unique data source, and oversee the execution of data migration between systems.
• Develop data storage strategies to minimize the data footprint, implement data governance systems to ensure data confidentiality and compliance with laws like GDPR.
• Design and build scalable data solutions using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, while maintaining robust data pipelines with T-SQL, Spark SQL, PySpark, and Spark Scala.
• Define data schemas and structures for efficient data management and reporting, transforming complex data into actionable insights.
• Implement best practices for data engineering, including coding standards and testing, while documenting data architecture, processes, and tools.
• Mentor and coach junior data engineers, fostering a culture of continuous learning and improvement, and continuously integrate new technologies to enhance data infrastructure.

We are Seeking People Who:

• Hold a Bachelor’s degree in computer science, math, software engineering, computer engineering, or a related field.
• Have a minimum of 6 years of experience in data science, data modeling, or data engineering with solid architecting experience in modern data solutions and big data tools.
• Are experienced with Microsoft data tools, including Fabric, Azure data tools, or other data warehousing tools such as Snowflake, BigQuery, or Redshift. MS Fabric is what's being implemented but its fairly new so its a big nice to have.
• Must have experience with Big Data - SnowFlake, MS Products.
• Possess knowledge of upstream system processes like ERPs, CRM, and Sales Operations.
• Are proactive, continually raising the bar, and open-minded, willing to examine their strongest convictions with humility.
• Nurture and embrace differing perspectives to make better decisions.
• SOFT SKILLS ARE VERY IMPORTANT: TEAM PLAYER, EXPERIENCE WITH ARCHITECTURE—THIS PERSON WILL HELP THE CLIENT MIGRATE TO THE NEW FABRIC PLATFORM, BUT THERE WILL BE MENTORING INVOLVED. BE A HANDS-ON TEAM PLAYER!

What’s in it For You:

• A supportive, diverse and global team with a growth mindset.
• A scaling company with great industry professionals.
• Amazing opportunities to get involved with exciting projects at a significant scale with some of the leading global companies.
• This position offers a competitive compensation package and more!

We thank all applicants for their interest - only those selected for an interview will be contacted.