Description
Are you an influential Architecture leader with a passion for leading strategic initiatives that make a huge impact? We are hiring a Senior Data Solution Architect, who will work alongside a dynamic team to identify complex business problems and create solution-oriented strategies for some of the most recognized brands. Apply now to connect with a recruiter about this influential role at EPAM!
Req. #
LI-KR3
Responsibilities
- Design, implement, and deploy data platforms at scale in both public and private clouds
- Provide support in the clients decision-making process by being a trusted technical advisor
- Guide customers on establishing their data practice on an enterprise level by analyzing their data strategy, data governance, data architecture, master data management and data quality management
- Drive and execute technical streams of data strategy engagements
- Educate clients on modern technologies, architecture and approaches for data & analytics by explaining their value for business
- Lead discovery sessions & customers workshops as well as present the proposed solutions
- Understand clients business problems and propose technical solutions to address them
- Define common business and development processes as well as platform and tools usage for data acquisition, storage, transformation, and analysis
- Communicate different solutions and technology options by articulating short and long-term consequences & the impact on client business
- Develop roadmaps and implementation strategies around data & analytics initiatives
- Review and audit existing solutions, designs, and the system architecture
- Create proposals for implementation and design of scalable data platform architecture
- Explain proposed solutions to multiple level of stakeholders
- Perform maturity level assessment of clients data capabilities & create architecture documentation
Requirements
Extensive experience working as a Solution Architect with strong background in data & analyticsHighly skilled in designing, developing, and maintaining enterprise scale data platformsExpert with big data technologies and frameworks such as Azure Data Factory, Azure Synapse, Azure Data Lake Storage, Databricks, Snowflake, Apache Spark, KafkaExperience with Big Data solutions developed in large Azure cloud computing infrastructuresExposure to Machine Learning, Recommendation Engines, Search Personalization and Deep LearningStrong understanding of client-driven large-scale implementation projectsKnowledge of design patterns, refactoring concepts, unit tests, and CI / CDBackground in programming and knowledge of scripting languages such as Java, Python or ScalaHistory of working within Technology consultingAbility to lead & manage teams with a deep understanding of Agile (Scrum) and common SDLC practicesPractical expertise in performance tuning and optimization, bottleneck problems analysis and troubleshootingComfortable with up to 20% travelBenefits
Extended Healthcare with Prescription Drugs, Dental and Vision Insurance, and Healthcare Spending Account (Company Paid)Maternity / Parental / Adoption Leave Top-upLife and AD&D Insurance (Company Paid)Employee Assistance Program (Company Paid)Unlimited access to LinkedIn learning solutionsLong-Term DisabilityRegistered Retirement Savings Plan (RRSP) with company matchPaid Time OffCritical Illness InsuranceEmployee DiscountsEmployee Stock Purchase ProgramAbout EPAM
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, 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 potentialAdditional
This posting includes a good base salary range EPAM Canada would reasonably expect to pay the selected candidate. Individual compensation offers within the range are based on a variety of factors, including, but not limited to, experience, credentials, education, training,; the demand for the role, skillset, and overall business and local labour market considerations. Most candidates are hired at a salary within the range disclosed. Salary range : $k - $k. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position