Lead- Data Engineering

Job Description

Responsibilities: • 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 Data Specialization • Comprehensive and expert knowledge with more than 5 years of Data Management and Data-Architectures (DWH, Spark, Lakehouse) and overall exp of 7-10 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) Security and Regulatory Regiour • 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. Strong Intrapersonal Skills • 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 Show more Show less