Lead Databricks Integration Analyst

Altria Client Services LLC in; Richmond (VA); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Relocation benefits

Hybrid work schedule

Job summary

Altria Client Services LLC in Richmond, VA is seeking a Lead Databricks Integration Analyst to design, build, and operate the data integration layer connecting enterprise sales apps to the Databricks Lakehouse. This role offers a hybrid schedule with relocation benefits.

You will partner with architects, engineers, app teams and business partners to deliver reliable, governed data pipelines, while guiding technical direction and mentoring engineers across the sales integration portfolio.

Qualifications

• 6+ years designing and supporting enterprise data integrations in production.
• 3+ years hands-on Databricks design, building, and operating pipelines.
• Experience with Lakeflow Connect, CDC, and pragmatic troubleshooting.
• Strong SQL and Python; ability to optimize Spark workloads.

Responsibilities

• Design and implement bi-directional integrations between enterprise apps and Databricks Lakehouse.
• Build, configure and optimize ingestion pipelines for databases, SaaS, files, and streaming data.
• Develop and maintain transformation pipelines using Lakeflow and Spark tooling.
• Enforce data quality standards, monitoring, and incident response for production pipelines.
• Collaborate with owners, vendors, and platform teams on connectivity and data contracts.
• Lead integration initiatives with design reviews and mentoring across the team.
• Translate business needs into scalable technical solutions and communicate priorities clearly.

Skills

SQL

Python

Databricks

Lakeflow Connect

Lakeflow Jobs

Spark Declarative Pipelines

CI/CD

Azure cloud

Agile Project Delivery

Leadership / mentoring

Education

Bachelor's degree in Computer Science, Information Systems, Engineering

Tools

Lakeflow Connect

Azure

Job description

Lead Databricks Integration Analyst (Finance)

Lead Databricks Integration Analyst (Finance)

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.