Delta Live Tables

Delta Live Tables Engineer Jobs

2 jobs found

2d ago

Sr Databricks Data Engineer

Deloitte Seattle, WA

Seattle, WA

2d ago

$138k - $194k/yr Full time Apache Airflow Automation Azure

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Job Description

Join Deloitte's Core AI & Data practice in Seattle for a senior Databricks data engineering role focused on designing and delivering cloud-based data solutions that enable analytics and AI at scale. This onsite opportunity offers collaboration across business and technology teams, the chance to drive enterprise data platforms, and meaningful work with leading data technologies. Travel up to 50 percent based on client engagements. Salary range: USD 137,500 to 193,600 per year.

Benefits

Discretionary annual incentive program
Core Talent Model benefits package
Reasonable accommodations for people with disabilities

Responsibilities

Promote best practices for data architecture, integration, and modeling; document and evangelize these approaches
Own the design, development, and maintenance of robust data pipelines and architectures that support enterprise-scale data needs
Drive data quality, operational efficiency, and process scalability through proactive initiatives
Lead, pilot, and integrate new big data and analytics technologies to keep the organization at the forefront
Mentor and develop teams of data engineers and architects to support effective project delivery
Consult on data governance, security, and compliance strategies for modern cloud data ecosystems
Communicate technical concepts and business value to executives, business leads, and technology teams
Oversee CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell to streamline deployments and operations
Provide clear guidance to others to support project success

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field
5+ years of hands-on data engineering experience with a focus on Databricks on AWS, Azure, or Google Cloud Platform
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 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 50 percent, depending on client work
Limited immigration sponsorship may be available
Master's degree in Computer Science, Engineering, or a related field
Experience in one or more cloud ecosystems (AWS, Azure, GCP) and related big data services
Experience tuning and optimizing performance in Databricks and Apache Spark environments
Experience with Databricks Lakeflow
Experience with artificial intelligence and machine learning solutions

Technologies

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

The Team

Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team collaborates with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, drive innovation, and support large-scale transformation. Practitioners work across business and technology functions to address complex challenges in data modernization.

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4d ago

Sr Databricks Data Engineer

Deloitte Nashville, TN

Nashville, TN

4d ago

$138k - $194k/yr Full time Analytics Azure Azure Data Lake Storage

Apply Now

Job Description

Deloitte's AI & Data practice is seeking a Sr Databricks Data Engineer to design, build, and optimize cloud-based data solutions on Databricks, enabling analytics and AI initiatives while modernizing enterprise data platforms. This on-site role is based in Nashville, Tennessee, with a salary range of USD 137,500 to 193,600 per year and opportunities to lead data engineering programs across client projects.

Responsibilities

Establish and promote best-in-class approaches for data architecture, integration, and modeling.
Own the design, development, and maintenance of scalable data pipelines and architectures that support enterprise data needs.
Drive improvements in data quality, operational efficiency, and process scalability.
Lead and mentor data engineering and architecture teams; assess, pilot, and integrate new big data and analytics technologies to keep the organization at the forefront.
Advise on data governance, security, and compliance strategies for modern cloud data ecosystems.
Translate technical concepts and business value for executives, business leads, and technology partners.
Oversee DevOps practices and automation, implementing CI/CD with tools such as Azure DevOps, AWS Code Pipeline, Jenkins, TFS, or PowerShell.
Provide clear guidance to colleagues and project teams.

Requirements

Ability to work both independently and collaboratively within a team.
Strong written and verbal communication skills.
Meticulous attention to detail and high-quality deliverables.
Ability to build and sustain professional relationships.
Capability to lead projects or workstreams.
Ability to manage multiple tasks in a fast-paced, dynamic environment.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines.
Bachelor's degree in Computer Science, Engineering, or a related field.
5+ years of hands-on data engineering experience with a focus on Databricks across AWS, Azure, or GCP.
Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases and 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 50% on average, depending on client engagement.
Limited immigration sponsorship may be available.
Master's degree in Computer Science, Engineering, or a related field.
Experience with one or more cloud ecosystems (AWS, Azure, GCP) and associated big data services.
Experience tuning performance in Databricks and Apache Spark environments.
Experience with Databricks Lakeflow.
Experience with artificial intelligence and machine learning solutions.

Technologies

Azure DevOps, AWS Code Pipeline, Jenkins, TFS, PowerShell
Databricks across AWS, Microsoft Azure, and Google Cloud Platform
Lakehouse architecture, Apache Spark, Delta Lake
Cloud-native databases, storage solutions, distributed compute platforms
PySpark, Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows
Apache Airflow, Unity Catalog, CI/CD pipelines
Databricks Lakeflow

Benefits

Discretionary annual incentive program

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