Based in Deloitte's AI and Data practice, this onsite role in Kansas City, MO focuses on designing, building, and optimizing cloud-native data solutions on Databricks to modernize data platforms, enable analytics and AI use cases, and support data-driven decision making.

Responsibilities

Establish and promote best-in-class approaches for data architecture, integration, and modelling.
Own the design, development, and maintenance of scalable data pipelines and architectures to meet enterprise data needs.
Lead initiatives to improve data quality, operational efficiency, and process scalability.
Lead data engineering teams, evaluate and pilot new big data and analytics technologies, and mentor engineers and architects to ensure strong project delivery.
Provide governance, security, and compliance guidance tailored to modern cloud data ecosystems.
Communicate technical concepts and business value to executives, business leads, and technology teams.
Oversee CI/CD adoption and automation with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell to streamline deployments and operations.
Provide clear guidance to others as needed.

Requirements

Ability to work independently and as part of a collaborative team.
Strong written and verbal communication skills.
Meticulous attention to detail and a commitment to high-quality work product.
Ability to build and sustain professional relationships.
Experience leading projects or workstreams.
Strong ability to manage multiple tasks in a fast-paced environment.
Professional demeanor with strong interpersonal skills.
Ability to meet deadlines.
Bachelor's degree in Computer Science, Engineering, or a related field.
5+ years of hands-on data engineering experience focusing on Databricks across AWS, Microsoft Azure, or Google Cloud Platform (GCP).
Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms.
Experience with data warehousing, 3NF, dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark.
1+ year leading complex, cross-functional data projects and technical teams, including exposure to Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated CI/CD pipelines, and performance optimization of data pipelines, code, and compute resources.
Ability to travel approximately 50% depending on client assignments.
Limited immigration sponsorship may be available.

Technologies

Databricks
AWS
Microsoft Azure
Google Cloud Platform (GCP)
Lakehouse architecture
Apache Spark
Delta Lake
PySpark
Delta Live Tables
Autoloader
Structured Streaming
Databricks Workflows
Apache Airflow
Unity Catalog
Databricks Lakeflow
Azure DevOps
AWS Code Pipeline
Jenkins
TFS
PowerShell

Benefits

Discretionary annual incentive program

Compensation

Salary range: USD 137,500 to 193,600 per year.

The disclosed range reflects multiple factors including skills, experience, licensure, and business needs. The figure does not account for geographic differences tied to the work location.

Accommodation

Information for applicants requiring accommodation is available on Deloitte's careers site at the following link: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...

Sr Databricks Data Engineer