Job Description

Our Data Engineering practice is growing! Data Management is looking for a hungry, humble, and smart Senior Data Engineer to help us build a world-class team and best-in-class products. If you are ready for growth, love designing and building Microsoft data solutions and have a passion for helping people and businesses, we would love to hear from you!

The Senior Data Engineer plays a pivotal role in driving technical excellence and business value for our clients. Critical aspects of this role entail the ability to work independently architecting and implementing modern data engineering solutions within the Microsoft ecosystem. Also key to this role is build and deliver on client expectations and project scope.

Key Responsibilities

Help set vision, strategy, and roadmap for client data engineering. Incorporate both Microsoft and industry best practices.

Develop "best-in-class" data engineering solutions that provide data quality, reliability, automation, notification, scalability, modularity, security.

Go-to resource for understanding client problems and responding with appropriate methods anchored around best practice, repeatable patterns, and "crush-it" mentality.

Design, develop, and optimize complex dimensional models for reporting (star schemas).

Collaborate with cross-functional teams, including business intelligence developers, Azure cloud administrators, business analysts, and others, to develop comprehensive data solutions.

Excel at documenting solution architecture, dimensional models, and how-to instructions.

Excellent leadership, communication, and project management skills.

Required Qualifications

Proven track record with at least 7+ years of hands-on experience in data engineering.

5+ years' experience working with Azure technologies, such as Data Factory, ADLS, Azure Databricks, Spark, Synapse Analytics, Azure SQL Database, Fabric.

Demonstrated advanced proficiency in SQL and intermediate Python skills.

Experience with connecting to and ingesting from API sources, including using OAuth 2. Additionally, experience with standardizing and/or flattening and/or normalizing JSON to a flavor of SQL structure.

In-depth understanding and practical application of Lakehouse architecture principles, combining the best of data lakes and data warehouses for robust and scalable data management.

Advanced SQL skills. Solid understanding of relational databases, transformation logic, and dimensional modelling techniques. Ability to write complex SQL.

Successful management of data engineering projects, including planning, execution, and delivery.

Demonstrated ability to take ownership and responsibility for critical issues and provide resolution. Strong problem-solving and decision-making abilities, as well as excellent collaboration skills.

Ability to create great rapport with client teams and exercise a knack for driving the adoption of data strategies that move the needle in improving business outcomes.

Job Type: Full-time

Pay: ?700,000.00 - ?1,000,000.00 per year

Work Location: In person