--- title: Lead Data Software Engineer with Databricks at EPAM Systems description: We are seeking a Lead Data Software Engineer with Databricks expertise to drive the technical design, robustness, and evolution of end-to-end traceability solutions, enabling transparency, regulatory --- # Lead Data Software Engineer with Databricks **Company:** EPAM Systems **Location:** Georgia **Posted:** 2026-09-03 **Apply by:** 2026-10-18 [Apply / View original posting](https://www.linkedin.com/jobs/view/4461916593) ## Job description We are seeking a Lead Data Software Engineer with Databricks expertise to drive the technical design, robustness, and evolution of end-to-end traceability solutions, enabling transparency, regulatory compliance, and data-driven decision-making across the supply chain. This role provides technical leadership and architectural direction for traceability platforms and data products, working with heterogeneous datasets ranging from farm and geolocation data to transactional, logistics, sustainability, and regulatory information. The successful candidate will collaborate closely with the Traceability solution team, sustainability experts, business analysts, data engineers, and data scientists, acting as a technical reference to ensure traceability data pipelines, data models, and platforms remain aligned with best practices and long-term architectural vision. Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi. Responsibilities Provide technical leadership and ownership for traceability data platforms, pipelines, and data products Define, document, and enforce architectural principles, technical standards, and best practices for traceability solutions Oversee the design of robust pipelines, quality controls, and proactive monitoring frameworks to ensure data availability, quality, integrity, and timeliness Guide and support data engineers and technical contributors on implementation choices, troubleshooting, performance optimization, and best practices Contribute strategically to Run execution and continuous improvement, including data quality, lineage, auditability, and operational monitoring Translate traceability and regulatory requirements into technical solutions, data models, and platform capabilities Collaborate closely with solution architects, data platform teams, and external partners to ensure alignment and scalability Support adoption of traceability solutions by business and sustainability teams through technical guidance and enablement Requirements 5+ years of experience in technical roles within data, analytics, or platform environments, with exposure to leadership or solution ownership responsibilities Expertise in cloud-based data platforms, preferably Azure Background in data architecture, data modeling, and data platform design, including complex, large-scale datasets Hands-on experience with Databricks, Spark/PySpark, and SQL for data transformation pipelines and analytics platforms Proficiency in SQL and data storage concepts, including relational databases, NoSQL, and data lakes, with performance optimization for large and complex datasets Knowledge of Python and data manipulation ecosystems such as Pandas and NumPy, with ability to review and guide code even if not hands-on full time Familiarity with data visualization tools including Power BI, Tableau, and Looker Experience designing or governing data quality frameworks, lineage, monitoring, and auditability Familiarity with orchestration tools and data integration patterns such as ADF, Airflow, and AWS Glue, or equivalent Experience with software engineering best practices including version control with git, branching strategies, code reviews, and CI/CD Understanding of data governance, security, and access control for sensitive business and regulatory data Proficiency in English at a B2+ level We offer We connect like-minded people Delivering innovative solutions to industry leaders, making a global impact Enjoyable working environment, whether it is the vibrant office or the comfort of your own home Opportunity to work abroad for up to two months per year Relocation opportunities within our offices in 55+ countries Corporate and social events We invest in your growth Leadership development, career advising, soft skills and well-being programs Certifications, including GCP, Azure and AWS Unlimited access to EPAM's internal learning database Free English classes with certified teachers We cover it all Participation in the Employee Stock Purchase Plan Monetary bonuses for engaging in the referral program Comprehensive medical & family care package Five trust days per year (sick leave without a medical certificate) Benefits package (sports activities, a variety of stores and services) EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments. --- 🔔 [Monitor similar jobs on Gurify](https://gurify.com/?utm_source=techgeo&utm_medium=jobboard&utm_campaign=monitor_similar&role=Lead+Data+Software+Engineer+with+Databricks) — get alerted when matching roles are posted in Georgia. ```json {"@context":"https://schema.org/","@type":"JobPosting","title":"Lead Data Software Engineer with Databricks","description":"

We are seeking a Lead Data Software Engineer with Databricks expertise to drive the technical design, robustness, and evolution of end-to-end traceability solutions, enabling transparency, regulatory compliance, and data-driven decision-making across the supply chain. This role provides technical leadership and architectural direction for traceability platforms and data products, working with heterogeneous datasets ranging from farm and geolocation data to transactional, logistics, sustainability, and regulatory information. The successful candidate will collaborate closely with the Traceability solution team, sustainability experts, business analysts, data engineers, and data scientists, acting as a technical reference to ensure traceability data pipelines, data models, and platforms remain aligned with best practices and long-term architectural vision. Experience the freedom of remote work from anywhere in Georgia, whether from the comfort of your home, our modern offices in Tbilisi and Batumi or a coworking space in Kutaisi. Responsibilities Provide technical leadership and ownership for traceability data platforms, pipelines, and data products Define, document, and enforce architectural principles, technical standards, and best practices for traceability solutions Oversee the design of robust pipelines, quality controls, and proactive monitoring frameworks to ensure data availability, quality, integrity, and timeliness Guide and support data engineers and technical contributors on implementation choices, troubleshooting, performance optimization, and best practices Contribute strategically to Run execution and continuous improvement, including data quality, lineage, auditability, and operational monitoring Translate traceability and regulatory requirements into technical solutions, data models, and platform capabilities Collaborate closely with solution architects, data platform teams, and external partners to ensure alignment and scalability Support adoption of traceability solutions by business and sustainability teams through technical guidance and enablement Requirements 5+ years of experience in technical roles within data, analytics, or platform environments, with exposure to leadership or solution ownership responsibilities Expertise in cloud-based data platforms, preferably Azure Background in data architecture, data modeling, and data platform design, including complex, large-scale datasets Hands-on experience with Databricks, Spark/PySpark, and SQL for data transformation pipelines and analytics platforms Proficiency in SQL and data storage concepts, including relational databases, NoSQL, and data lakes, with performance optimization for large and complex datasets Knowledge of Python and data manipulation ecosystems such as Pandas and NumPy, with ability to review and guide code even if not hands-on full time Familiarity with data visualization tools including Power BI, Tableau, and Looker Experience designing or governing data quality frameworks, lineage, monitoring, and auditability Familiarity with orchestration tools and data integration patterns such as ADF, Airflow, and AWS Glue, or equivalent Experience with software engineering best practices including version control with git, branching strategies, code reviews, and CI/CD Understanding of data governance, security, and access control for sensitive business and regulatory data Proficiency in English at a B2+ level We offer We connect like-minded people Delivering innovative solutions to industry leaders, making a global impact Enjoyable working environment, whether it is the vibrant office or the comfort of your own home Opportunity to work abroad for up to two months per year Relocation opportunities within our offices in 55+ countries Corporate and social events We invest in your growth Leadership development, career advising, soft skills and well-being programs Certifications, including GCP, Azure and AWS Unlimited access to EPAM's internal learning database Free English classes with certified teachers We cover it all Participation in the Employee Stock Purchase Plan Monetary bonuses for engaging in the referral program Comprehensive medical & family care package Five trust days per year (sick leave without a medical certificate) Benefits package (sports activities, a variety of stores and services) EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

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