{"id":2586928,"url":"https://alion.io/job/epam-systems-data-technology-consultant-data-engineering","title":"Data Technology Consultant (Data Engineering)","company":{"id":92,"name":"EPAM Systems","domain":"epam.com","url":"https://alion.io/company/epam-systems","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":{"grade":"D","score":43,"open_postings":56,"ghost_share":0.929,"stale_share":0,"repost_share":0.107,"time_to_fill_p50_days":48,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Vilnius, Lithuania","Kaunas, Lithuania"],"countries":["LT"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":46000,"max":48000,"currency":"EUR","period":"year","gross":true,"usd_annual":53382},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-10-02T01:40:07Z","employer_posted_date":null,"last_verified_at":"2026-10-02T01:40:07Z","board_verified":false,"closed_at":null,"days_open":21,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":21},"description":"Job Description\nWe are looking for an experienced Data Technology Consultant to join our Data Engineering leadership team across Lithuania and Latvia.\n\nThis role is designed for a strong technical leader who combines deep data engineering expertise with consulting skills, people leadership, business understanding, and the ability to grow engineering capabilities. You will work closely with the Data Head for the Baltics, acting as a key partner in scaling the Data Engineering practice, developing teams, and driving technical excellence across the region.\n\nYou will lead a team of 20+ data engineers, support hiring and talent development, shape engineering practices, participate in strategic client discussions, and help define how Data Engineering evolves within EPAM Baltics.\n\nThe ideal candidate is someone who can operate at both strategic and technical levels: understanding complex data challenges, guiding architecture decisions, mentoring engineers, and building a high-performing engineering culture.\n\n_This position offers hybrid setup with the flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas._\n\nLead and support a Data Engineering team of 20+ engineers across Lithuania and Latvia, providing mentorship, technical guidance, and career development support\n\nPartner with the Data Head for the Baltics to define and execute the Data Engineering strategy and grow the regional practice\n\nDrive hiring, onboarding, team scaling, and development of engineering talent\n\nEstablish and improve engineering practices, standards, and delivery approaches across data projects\n\nProvide technical leadership and support architecture decisions for enterprise-scale data platforms and solutions\n\nCollaborate with clients, delivery leaders, and stakeholders to understand business challenges and define effective data strategies\n\nParticipate in presales activities, solution design, technical discussions, and client engagements\n\nPromote adoption of modern data technologies, Big Data solutions, cloud platforms, and engineering best practices\n\nEnsure delivery of scalable, reliable, secure, and maintainable data solutions\n\nCommunicate technical concepts and solutions effectively to both technical and non-technical audiences\n\nRequirements\n\n8+ years of experience in IT, with a strong focus on Data Engineering and enterprise data platforms\n\n3+ years of experience in technical leadership, engineering management, architecture, or data leadership roles\n\nProven experience mentoring and guiding engineering teams (experience with teams of 10+ engineers is preferred)\n\nExperience building and scaling engineering teams, including hiring and talent development\n\nStrong expertise in Data Engineering concepts: data pipelines, data modelling, data platforms, data warehousing, and Big Data solutions\n\nExperience designing and delivering enterprise-scale data architectures\n\nStrong knowledge of ETL/ELT patterns and batch and streaming data processing\n\nAdvanced proficiency in SQL and Python\n\nHands-on experience with modern data engineering technologies such as Apache Spark, Databricks, and/or Snowflake\n\nExperience with cloud data platforms, preferably AWS and/or Azure\n\nExperience with distributed data processing and streaming technologies such as Kafka, Kinesis, or Flink\n\nAbility to communicate effectively with engineers, architects, clients, and business stakeholders\n\nStrong English communication skills\n\nNice to have\n\nExperience working in an IT services or consulting environment\n\nPresales and business development experience: RFPs, SoWs, solution proposals, and client workshops\n\nExperience building Data Engineering practices or communities from the ground up\n\nCloud or data platform certifications (Databricks, Snowflake, AWS, Azure, GCP)\n\nExperience integrating enterprise data platforms with large business systems such as ERP, CRM, banking, or other enterprise solutions\n\nCompany offers\n\nEngineering Heritage: Best-in-class experts sharing a culture of engineering excellence and tackling complex engineering challenges for over 30 years\n\nAdvanced Tech Stack: Innovative projects where you can apply or enhance your expertise in Cloud, Data, AI, and other emerging technologies\n\nWorld-Class Clients: Work closely with 340+ of the Forbes Global 2000 on creating disruptive solutions that make a global impact\n\nProfessional Growth: Exceptional support for career development with comprehensive resources for upskilling or reskilling in pioneering practices\n\nGenAI Community: Strong AI competencies with 600+ experts across 55+ locations driving GenAI-enabled transformation journeys\n\nEntrepreneurial Culture: If you're passionate and dedicated to improving business transformation, we provide the support you need to bring your ideas to life\n\nHybrid Setup: The flexibility to work from any location in Lithuania, whether it's your home or our dynamic offices in Vilnius and Kaunas\n\nOther Benefits: Additional vacation and trust days, private health insurance, Employee Stock Purchase Plan and 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