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Altria

Lead Databricks Integration Analyst

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What they do

A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.

$87,642 / year median in Virginia

+13% projected growth

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Job Description

Lead Databricks Integration Analyst Altria - 4.0 Richmond, VA Job Details 3 hours ago Benefits Vision insurance Qualifications Systems integration Databricks Data Integration (Data management) Spark SQL Quality issues Data quality monitoring Integration Platforms (Enterprise solutions) Technical troubleshooting support Real-time data processing implementation Python Production troubleshooting Database software proficiency Full Job Description Job Description #body.unify div.unify-button-container .
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LinkedIn Job Title:
Lead Databricks Integration Analyst Req Id:
3376
Work Model:
Hybrid Company:
Altria Client Services State/Province:
Virginia 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. .buttontext5f02f7b7f9cc6bb2 a{ border: 1px solid transparent; } .buttontext5f02f7b7f9cc6bb2 a: focus{ border: 1px dashed #5B94FF !important; outline: none !important; } Altria is a Fortune 500 company that has a leading portfolio of products for U.S. adult tobacco and nicotine consumers 21+. For decades we've been leaders in the tobacco industry, but the industry is evolving - and so are we. Our Vision is Moving Beyond Smoking™. At Altria, we celebrate the power of diverse teams working together to shape our future. Each Altria company is an equal opportunity employer. We are committed to providing individuals with criminal records, including formerly incarcerated individuals and individuals with conviction records, a fair chance at employment. Join us as we work together to shape a better future for adult tobacco consumers, our employees, and our shareholders. Altria is the parent company of Philip Morris USA, John Middleton, U.S. Smokeless Tobacco, Helix Innovations, and NJOY. Altria complements its tobacco portfolio with equity investments in Anheuser-Busch InBev and Cronos Group.

Benefits

  • Dental Insurance
  • Vision Insurance