Data Technology Consultant — Data & Ai Modernization
EPAM Systems
We are seeking a seasoned
Data Technology Consultant
to join our expanding
Data & AI practice
and help drive
Data & AI Modernization Programs
for EPAM clients. This role bridges technology and business value: you will help enterprises retire legacy data warehouses and ETL platforms, move to a modern lakehouse stack, and unlock analytics and AI use cases that were out of reach before.You will design innovative modernization solutions, own presales end-to-end, and bring strategic advisory plus deep technical know-how to senior client stakeholders across worldwide industries.Req# 1027351753The recruiting efforts for this position are intended to fill an existing vacancy for a new position.Responsibilities
Lead End-to-End Presales Lifecycle: Own opportunity solution design, technical scoping, effort estimationDrive Client Discovery & Advisory: Facilitate stakeholder discovery workshops and short-term assessment engagements to formulate comprehensive legacy migration roadmaps and enterprise data strategiesDesign Modern Cloud Architectures: Architect scalable, cloud-native Data & AI solutions (utilizing Databricks, Snowflake, and medallion architecture patterns) optimized for business outcomesBridge Business & Technology: Collaborate seamlessly across sales, delivery, and technical expert teams to ensure proposed solutions perfectly match client objectives and deliver measurable valueRequirements
Professional Background: 7+ years of experience in data technology consulting, data architecture, or solution architecture delivering enterprise-scale data platformsModern Cloud & Lakehouse Platforms: Proven hands-on experience with modern cloud data platforms (Databricks, Snowflake) across major cloud ecosystems (AWS, Azure, GCP)Legacy Migration Experience: Strong understanding of legacy data warehousing and traditional ETL tools (e.G., Oracle, DB2, Informatica, SSIS) and enterprise migration challengesTrack Record of Modernization: Demonstrated success leading complex, multi-workload enterprise data modernization and migration programs into productionCommunication & Stakeholder Management: Exceptional storytelling, presentation, and executive-level advisory skills with the ability to translate complex technical concepts into clear business narrativesWe offer
Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)Life and AD&D Insurance (Company Paid)Employee Assistance Program (Company Paid)Telehealth (Company Paid)Short-term Disability (Company Paid)Long-Term DisabilityPaid Time Off (including vacation and sick days)Registered Retirement Savings Plan (RRSP) with Company matchMaternity/Parental/Adoption Leave Top-upEmployee Stock Purchase ProgramCritical Illness InsuranceEmployee DiscountsUnlimited access to LinkedIn learning solutionsAn artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA View email address on ca.hrm.tc if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.Engineer the Future with a Career at EPAM
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Data Technology Consultant
to join our expanding
Data & AI practice
and help drive
Data & AI Modernization Programs
for EPAM clients. This role bridges technology and business value: you will help enterprises retire legacy data warehouses and ETL platforms, move to a modern lakehouse stack, and unlock analytics and AI use cases that were out of reach before.You will design innovative modernization solutions, own presales end-to-end, and bring strategic advisory plus deep technical know-how to senior client stakeholders across worldwide industries.Req# 1027351753The recruiting efforts for this position are intended to fill an existing vacancy for a new position.Responsibilities
Lead End-to-End Presales Lifecycle: Own opportunity solution design, technical scoping, effort estimationDrive Client Discovery & Advisory: Facilitate stakeholder discovery workshops and short-term assessment engagements to formulate comprehensive legacy migration roadmaps and enterprise data strategiesDesign Modern Cloud Architectures: Architect scalable, cloud-native Data & AI solutions (utilizing Databricks, Snowflake, and medallion architecture patterns) optimized for business outcomesBridge Business & Technology: Collaborate seamlessly across sales, delivery, and technical expert teams to ensure proposed solutions perfectly match client objectives and deliver measurable valueRequirements
Professional Background: 7+ years of experience in data technology consulting, data architecture, or solution architecture delivering enterprise-scale data platformsModern Cloud & Lakehouse Platforms: Proven hands-on experience with modern cloud data platforms (Databricks, Snowflake) across major cloud ecosystems (AWS, Azure, GCP)Legacy Migration Experience: Strong understanding of legacy data warehousing and traditional ETL tools (e.G., Oracle, DB2, Informatica, SSIS) and enterprise migration challengesTrack Record of Modernization: Demonstrated success leading complex, multi-workload enterprise data modernization and migration programs into productionCommunication & Stakeholder Management: Exceptional storytelling, presentation, and executive-level advisory skills with the ability to translate complex technical concepts into clear business narrativesWe offer
Extended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)Life and AD&D Insurance (Company Paid)Employee Assistance Program (Company Paid)Telehealth (Company Paid)Short-term Disability (Company Paid)Long-Term DisabilityPaid Time Off (including vacation and sick days)Registered Retirement Savings Plan (RRSP) with Company matchMaternity/Parental/Adoption Leave Top-upEmployee Stock Purchase ProgramCritical Illness InsuranceEmployee DiscountsUnlimited access to LinkedIn learning solutionsAn artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA View email address on ca.hrm.tc if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.Engineer the Future with a Career at EPAM
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Vacancy posted 55 minutes ago
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