Job Description

Data Solution Architect in Spark/Databricks/Snowflake Description

We are seeking an experienced Data Solution Architect with a strong background in Spark, Databricks, and Snowflake to join our team.

The ideal candidate will design and deploy high-performance, scalable big data architectures and applications. This role involves direct participation in customer workshops, defining network infrastructure solutions, developing roadmaps for data science initiatives, and creating technical documentation to meet our clientele's growing data demands.

Responsibilities

• Develop proposals for the implementation and design of scalable big data architecture utilizing Spark, Databricks, and Snowflake
• Participate in customer workshops and present proposed solutions effectively
• Design, implement, and deploy custom applications at scale on Hadoop and other big data technologies
• Define network infrastructure solutions for scaling demands and traffic
• Streamline business and development processes for data acquisition, storage, transformation, and analysis
• Craft roadmaps and strategies for data science initiatives like prediction models and machine learning
• Review, audit, and improve existing solutions, designs, and system architectures
• Offer technical documentation clearly and efficiently
• Lead technical teams, ensuring adherence to Agile methodologies
• Conduct performance tuning, optimization, and bottleneck problem analysis

Requirements

• Minimum of 7 years of practical hands-on experience in software development
• Knowledge of programming and scripting languages including Python and Scala
• Experience in designing, developing, or maintaining distributed applications
• Proficiency in big data technologies such as Hadoop, MapReduce, Apache Spark, Hive, Kafka, Apache Flink, Flume, Cassandra
• Background in big data solutions within cloud infrastructures such as AWS, Azure Cloud, Google Cloud
• Experience in managing large-scale client-driven implementation projects
• Expertise in design patterns, refactoring, unit testing, and CI/CD
• Skills in applications design, development, and maintenance
• Competency in performance tuning, optimization, and troubleshooting
• Qualifications in Object-Oriented Analysis and Design
• Fluent English communication skills at a B2+ level

We offer

• Career plan and real growth opportunities
• Unlimited access to LinkedIn learning solutions
• International Mobility Plan within 25 countries
• Constant training, mentoring, online corporate courses, eLearning and more
• English classes with a certified teacher
• Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
• Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
• Flexible work schedule and dress code
• Collaborate in a multicultural environment and share best practices from around the globe
• Hired directly by EPAM & 100% under payroll
• Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
• Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
• 13 % employee savings fund, capped to the law limit
• Grocery coupons
• 30 days December bonus
• Employee Stock Purchase Plan
• 12 vacations days plus 4 floating days
• Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
• Monthly non-taxable amount for the electricity and internet bills

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 potential.

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