Lead Data Software Engineer with Cloud Services and Databricks

We are seeking a Lead Data Software Engineer to own the end-to-end technical delivery of process mining use cases, migrating from Celonis to a Databricks-based data platform. This role combines hands-on engineering with the establishment of team development practices, mentoring of engineers, and enabling scaling across the account. The ideal candidate is proactive and independent, capable of making sound technical decisions and operating effectively with limited architect capacity. This is a fully remote position that offers you the flexibility to work from any location in Armenia, whether it's your home or well-equipped offices in Yerevan or Gyumri.  ResponsibilitiesLead the full engineering lifecycle for process mining use cases, from discovery to production supportAnalyze source systems and implement reliable data ingestion, transformation, and validation pipelinesDesign and develop scalable, reusable Databricks components and Databricks AppsLead PoC migrations from Celonis, assess feasibility, and evolve successful solutions into productionEstablish team engineering practices covering development, unit and integration testing, code review, CI/CD, deployment, and monitoringIdentify technical risks and dependencies, make design decisions, and collaborate with architects and stakeholdersApply AI tools across the SDLC, including requirements analysis, coding, testing, code review, documentation, troubleshooting, and knowledge transferEnsure AI-assisted outputs meet quality, security, compliance, confidentiality, and maintainability standardsSupport engineers through code reviews, documentation, reusable patterns, and knowledge-transfer sessionsProvide technical input to requirements, acceptance criteria, and delivery planning Requirements5+ years of hands-on experience with Python and data engineeringExperience designing and implementing data ingestion and transformation pipelinesPractical experience with Databricks, data modeling, data quality, and source-system integrationKnowledge of, and ideally practical experience building and deploying, Databricks AppsExperience delivering data or analytics use cases through the complete development lifecycleFamiliarity with AI-native ways of working and AI tools such as GitHub Copilot, Databricks Genie, and Claude CodeExperience establishing engineering processes, CI/CD, testing, code review, and release practicesDemonstrable hands-on experience using AI tools across the SDLCAbility to critically review and validate AI-generated code, tests, designs, and documentationExperience mentoring engineers and enabling knowledge sharingProactive, independent working style with strong communication and stakeholder-management skillsAwareness of data governance, security, compliance, data lineage, and privacy requirementsProficiency in English at a B2+ level We offerWe connect like-minded peopleDelivering innovative solutions to industry leaders, making a global impactEnjoyable working environment, whether it is the vibrant office or the comfort of your homeOpportunity to work abroad for up to two months per yearRelocation opportunities within our offices in 55+ countriesCorporate and social eventsWe invest in your growthLeadership development, career advising, soft skills and well-being programsCertifications, including GCP, Azure and AWSUnlimited access to EPAM's internal learning databaseFree English classes with certified teachersWe cover it allParticipation in the Employee Stock Purchase PlanMonetary bonuses for engaging in the referral programComprehensive medical & family care packageFour trust days per year for personal needsDiscounts for fitness clubsBenefits package (hotels, restaurants, 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.