Senior Engineering Manager : Big Data Diversity

• You will lead a team and build systems that solve complex business problems at scale.
• Work closely with product managers to understand customer needs and translate
• those into technical requirements.
• Build and maintain scalable data management and serving infrastructure on cloud,
• managing terabytes of data and integrating cost.
• You will be able to build, lead and manage a rockstar team.
• You will be responsible for end-to-end ownership of the engineering process.
• Design a comprehensive target data architecture vision working closely with product,
• design and development and NatCo teams to plan transition towards the target vision
• Responsible for implementation of architecture concepts in product development and
• services
• Consult and engage with engineering teams to solve problems at their root cause
• Create deliverables that provide exceptional clarity and connections to business objectives
• Assess emerging technologies and perform proof of concepts
• Collaborate with product teams, design teams, NatCOs, enterprise architects and
• provide optimized solutions that provide business outcomes
• Provide strategic direction and technical oversight pertaining to the implementation of
• new tools, technologies and solutions
• Set the strategic roadmap and develop development processes and strategies.
• Implement products and features to enhance the product suite.

• Comprehensive and expert knowledge with more than 7 years of Data Management and Data-Architectures (DWH, Spark, Lakehouse) and overall exp of 12-15 yrs.
• Deep understanding of concepts and principles relating to both Batch and Streaming data, as well as API/Microservices architectures, Data warehouses & Mesh Architectures.
• Strong expertise in Big Data Applications, Architecture best practices, and experience with the pitfalls of legacy Data Warehouses and Big Data platforms.
• Al exposure and an excellent understanding of the decision engine concepts and how to best implement MLOps within an enterprise.
• Rich and comprehensive experience in understanding the impact of emerging trends on the organization in data tools, analysis techniques, and data usage.
• Experience in software engineering and programming languages (Java, Scala).
• Proven track record of working with globally federated IT teams, and understands the
• challenges involved, but can still bring teams and people together to deliver a shared
• outcome.
• Data Modelling experience (e.g., Information framework SID, Data Vault 2.0)

• Experienced in implementing solutions that protect sensitive and regulated Customer data and can define technically secure and regulatory sound solutions.
• Experienced in dealing with Security Architecture concepts like identity and access management, network isolation, transport protection, cloud security specifics, encryption & key management, and robust knowledge of data privacy treatment techniques.

• Being able and motivated to facilitate difficult discussions within the team or with diverse senior stakeholders
• Resilient, able to adapt both her-/himself and teams to changing environments and business situations
• Extensive and long-term experience in multicultural environments and fast-moving, highly competitive markets
• Should be able to explain complex topics in "crisp, simple" language to top management
• Great communicator to both the virtual architect teams but also all relevant internal stakeholders and sponsors within Client's AG and NatCos
• Profound experience in working in cross-functional teams and multicultural settings.
• Strong community engagement Strong track record working in virtual settings across
• globally distributed teams.

Expertia AI Technologies