Senior Data Engineering Manager

Description

Are you an experienced Leader in the Data & Analytics field, in addition to being an avid technologist who enjoys solving complex technical consulting challenges and driving Data & Analytics solutions? Are you hungry to thrive in an entrepreneurial environment working for one of the largest and most successful engineering businesses globally? We have a vacant position for you. This presents a wonderful opportunity to collaborate closely with our global and local Data & Analytics business, working in tandem with numerous clients to improve and address their technical data challenges.
#LI-NA3

What You'll Do

• Play a key role within the global and local Data & Analytics organization to advise clients with their overall Data Analytics strategy and implementations
• Help clients get more out of their existing Data and Analytics projects by identifying the solutions and services based on their needs, constraints, and strategies
• Act as Data Technology Consultant and/or Data Solution Architect, working with the delivery team in various sized complex programs
• Help drive technology consulting, architecture engagements and transformation through execution phases and work closely with internal, client and third-party vendor mixed teams
• Take an active role in aligning closely with EPAM's wider leadership teams to help shape the business/technology/strategic direction and footprint across multiple clients projects with varying degrees of maturity
• Engage customer organizations at the executive / C-level, helping customers drive enterprise-wide agenda as well as external and internal partners to maximize growth within an account/client portfolio
• Help drive Data Analytics initiatives whilst producing relevant deliverables whilst understanding the intersections between technology, customers, and business
• Lead diverse teams of technical data & analytics professionals within EPAM
• Stay abreast of current and emerging trends and challenges of the space/markets and geographies in which the clients operate, and how it affects clients' business and initiatives
• Work closely with project/program management to ensure successful delivery through an integrated delivery model
• Support sales / pre-sales activities by assessing Data opportunities, responding to RFP's, creating proposals and presentations, establishing relationships with prospective clients, and helping to close deals

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Fluency in English
• Experience in a hands-on Data Technical Consultant, Data Solution Architect or Head of Data Analytics/Engineering roles
• Extensive experience developing and growing client relationships and leading technical Data & Analytics teams delivering end-to-end solutions of different sizes and maturity
• Experience / knowledge in Big Data, Hadoop, Spark, Kafka, BI, Data Warehousing, Data Science, Data Management, Data Storage, Data Visualization
• Good Cloud experience / knowledge in at least one of the Cloud providers (AWS, Azure, GCP)
• Solid experience in continuous delivery tools and technologies
• Ability to clearly articulate the pros and cons of technology choices, recommendations, presenting analysis and solution design decisions to clients for complex transformation projects for the ultimate success of their business
• Pre-sales experience whilst executing and leading on rapid conceptual designs, proof-of-concepts and client presentations

• Build a global career with international projects and clients
• Stay ahead in your career by working with diverse and cutting-edge technologies
• Remote & flexible working schedule
• Competitive compensation in USD and regular salary reviews
• Private Health Insurance: Unlimited usage with 80% coverage
• Meal Allowance
• Extensive Annual Leave Policy including extra workday-annual leaves granted for the first year
• Referral program: cash bonus for each successful recommendation
• Relocation opportunities within our offices in 50+ countries
• Amazing learning and development opportunities: Hard & soft skills internal training courses, mentoring programs, and free access to over 2,500 in-house courses and over 18,000 on LinkedIn learning