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

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.The exceptional EY experience. It's yours to build.EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.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 in the 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.Your key responsibilities Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis.Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions.Define and develop client specific best practices around data management within a Hadoop environment or cloud environment.Recommend design alternatives for data ingestion, processing and provisioning layers.Design and develop data ingestion programs to process large data sets in Batch mode using Hadoop, Spark, Azure Synapse, and Databricks.Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies.Skills and attributes for success 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 benchmarking 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 hands-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.What we offer We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $124,300 to $227,900. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $149,200 to $259,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter / Summer breaks, Personal / Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.EY accepts applications for this position on an on-going basis.

• If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
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Salary : $124,300 - $227,900