Data Architect - Industrial & Energy Sector - Manager - Consulting - Location OPEN

Consulting - Data Architect – Manager – Industrials & Energy Sector 

The opportunity  

EY's Industrial Products team is seeking a Data Architect Manager with strong technology and data understanding manufacturing sector, including vehicle automation, connectivity, business and manufacturing process, and enterprise AI — complemented by a solid track record of delivery. This individual will spearhead the design, development, and governance of the company's data architecture, ensuring scalable, effective, and secure data solutions that align with business objectives and support enterprise-wide data initiatives. 

• Strong understanding & familiarity with all Hadoop Ecosystem components and Hadoop Administrative Fundamentals 

• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms 

• Experience in the development of Hadoop APIs and MapReduce jobs for large scale data processing 

• Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm 

• Hands on experience with major components like Hive, Spark, and MapReduce 

• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB 

• Experienced in Hadoop clustering and Auto scaling 

• Good knowledge in apache Kafka & Apache Flume 

• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions  

• Knowledge of Apache Oozie based workflow  

• Hands-on expertise in cloud services like AWS, and/or Microsoft Azure 

• Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Hadoop and Cassandra 

• Experience with BI, and data analytics databases  

• Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc. 

• Experience in Enterprise grade solution implementations 

• Knowledge in Big data architecture patterns (Lambda, Kappa) 

• Experience in performance bench marking enterprise applications 

• Experience in Data security (on the move, at rest) 

• Strong UNIX operating system concepts and shell scripting knowledge 

To qualify for the role you must have 

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution 

• Excellent communicator (written and verbal formal and informal). 

• Ability to multi-task under pressure and work independently with minimal supervision 

• Strong verbal and written communication skills 

• Must be a team player and enjoy working in a cooperative and collaborative team environment 

• Adaptable to new technologies and standards 

• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support 

• Minimum 8 years hand-on experience in one or more of the above areas 

Ideally, you’ll also have 

• Experience in leading and influencing teams, with a focus on mentorship and professional development 

• A passion for innovation and the strategic application of emerging technologies to solve real-world challenges 

• The ability to foster an inclusive environment that values diverse perspectives and empowers team members 

FY25CH