Lead Databricks Integration Analyst

Altria Client Services LLC; Richmond (VA); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Relocation benefits

Job summary

Altria Client Services LLC is seeking a Lead Databricks Integration Analyst in Richmond, VA, with a hybrid work schedule. You will design, build, and operate the data integration layer connecting enterprise sales apps to the Databricks Lakehouse, partnering with architects, engineers, and business partners to deliver reliable pipelines.

You will lead technical initiatives, review designs, and mentor engineers while translating business requirements into scalable solutions and communicating

Qualifications

• Bachelor's degree and 6+ years of production data integration experience.
• 3+ years hands-on Databricks experience designing and operating data pipelines.
• Experience with Lakeflow Connect and Lakeflow Jobs.
• Strong SQL and Python development and Spark tuning.

Responsibilities

• Design/implement bi-directional integrations between enterprise apps and Databricks Lakehouse.
• Build and optimize ingestion pipelines for databases, SaaS, files, and streaming data.
• Develop and maintain transformation pipelines using Spark Declarative Pipelines and Lakeflow tooling.
• Establish data quality, monitoring, and incident resolution for production pipelines.
• Partner with owners, vendors, and platform teams to define connectivity and data contracts.
• Provide technical direction, design/code reviews, and mentoring across the team.
• Translate business requirements into scalable technical solutions; communicate priorities and risks.

Skills

SQL

Python

Data integration

Mentoring

Leadership

Communication

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field

Tools

Databricks

Lakeflow Connect

Lakeflow Jobs

Spark Declarative Pipelines

Unity Catalog

Azure

CI/CD

Infrastructure as Code

Job description

Shape the future of enterprise data integration!Are you passionate about building scalable data integrations that power business decisions? Do you enjoy solving complex data challenges while influencing technical direction? If so, we want to hear from you! We are seeking a Lead Databricks Integration Analyst to help design, build, and operate the data integration layer connecting enterprise sales applications to our Databricks Lakehouse platform. You'll partner with architects, engineers, application teams, and business partners to deliver reliable, governed, and scalable data pipelines while serving as a technical leader across our sales integration portfolio. This position is in Richmond, VA with a Hybrid work schedule. Relocation benefits are available.

What you will be doing:

• Designing and implementing bi-directional integrations between enterprise sales applications and the Databricks Lakehouse using Databricks-native and Azure integration technologies.
• Building, configuring, and optimizing ingestion pipelines for databases, SaaS platforms, file feeds, and streaming data, including change data capture, incremental processing, and schema evolution.
• Developing and maintaining transformation pipelines using native Databricks integration tooling (i.e. Spark Declarative Pipelines, Lakeflow Jobs, and Lakehouse Connect), leveraging built-in quality controls, dependency management, and scalable processing patterns.
• Establishing and enforcing data quality standards, monitoring, logging, operational support processes, and incident resolution practices for production pipelines.
• Partnering with application owners, vendors, and platform teams to establish connectivity, authentication, data contracts, and integration standards.
• Leading integration initiatives by providing technical direction, conducting design and code reviews, and mentoring team members on Databricks integration practices.
• Translating business requirements into scalable technical solutions while effectively communicating priorities, risks, tradeoffs, and progress to technical and non-technical partners.

We want you to have:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, and 6+ years of directly related professional experience designing, developing, and supporting enterprise data integrations and data pipelines in production environments.
• 3+ years of hands-on experience with Databricks, including designing, building, and operating data ingestion and transformation pipelines.
• Experience with Lakeflow Connect, including connector configuration, change data capture (CDC), incremental ingestion, and troubleshooting production integration issues.
• Experience developing and operating Lakeflow Jobs and multi-step workflow orchestration, including scheduling, dependency management, retries, monitoring, and alerting.
• Experience building Spark Declarative Pipelines, including streaming or incremental processing and embedded data quality controls.
• Strong SQL and Python development skills, including experience tuning and troubleshooting Spark workloads.
• Preferred: Experience with medallion architecture, Unity Catalog, CI/CD and infrastructure-as-code practices, automated pipeline testing, Azure cloud services, Agile Project Delivery and leading technical projects or mentoring other engineers.