Data Engineer - Industrials & Energy Sector - Senior Manager - Consulting - Location Open - EY

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. Data Engineering Senior Manager - EY: This position can be anywhere in the country (primary: NY). The Opportunity EY's Industrial Product team is seeking a Senior Manager in Data Engineering focusing on helping our clients with future forward data strategy and data management in the advanced manufacturing sector, including vehicle automation, connectivity, electrification, and enterprise AI. This leadership role requires a seasoned professional with a strong background in data engineering to guide the development of cloud-based solutions, drive pre-sales efforts, and manage complex projects that meet organizational goals. Your Key Responsibilities _Strategic Oversight_ : Lead the strategic design and implementation of data engineering initiatives, ensuring alignment with business objectives and adherence to best practices in data architecture and ETL principles. _Cloud Solutions Leadership_ : Oversee the design and maintenance of scalable data pipelines and architectures using cloud platforms such as AWS, Azure, and Databricks. Ensure solutions accommodate increasing data sources, volumes, and complexity. _Solution Recommendation:_ Utilize your strong background to recommend and lead cloud-based and data engineering solutions, addressing complex technical challenges and ensuring optimal performance. _Pre-Sales and RFPs_ : Engage in pre-sales activities and contribute to RFP responses by developing and articulating advanced data engineering solutions that address client needs and demonstrate the value of our offerings. _AI/ML and Advanced Analytics_ : Collaborate with AI/ML engineers to design and implement data solutions that support machine learning, large language models (LLM), and advanced analytics. Integrate AI/ML capabilities into data engineering workflows. _Data Requirements and Validation_ : Define data requirements, manage the ingestion of structured and unstructured data, and validate data using tools and methodologies in a Big Data environment. Data Quality and Reconciliation: Implement processes for data reconciliation and quality monitoring, ensuring production data is accurate and available for stakeholders, downstream systems, and business processes. Technical Leadership: Evaluate, implement, and deploy emerging tools and processes to enhance data engineering capabilities. Develop and deliver communication and education plans on data engineering standards and practices. Digital and Cloud Modernization: Lead digital transformation and cloud modernization efforts, leveraging cloud-native technologies and practices to improve data engineering solutions and processes. Team Management: Mentor and lead a team of data engineers, fostering a culture of innovation, continuous improvement, and professional development. Stakeholder Collaboration: Partner with Business Analytics, Solution Architects, Data Scientists, and AI/ML engineers to design and deliver data solutions that support advanced analytics, machine learning, and predictive modelling. Skills and Attributes for Success _Cloud Solutions Expertise_ : Strong background in designing and implementing cloud-based data solutions using AWS, Azure, Databricks, and other relevant cloud technologies. _AI/ML Integration_ : Experience with AI/ML technologies, including machine learning, large language models (LLM), and integration of AI/ML capabilities into data engineering workflows. _Data Engineering Proficiency_ : Extensive knowledge of data engineering principles, including building and optimizing data pipelines, and managing data architectures. _Technical Skills_ : Proficiency in programming languages such as Python and Pyspark, and experience with distributed data technologies and API development. _Pre-Sales and Proposal Management_ : Proven experience in pre-sales activities and contributing to RFP responses, with a track record of developing solutions that align with client requirements. _Leadership and Mentorship_ : Demonstrated ability to lead and mentor teams, fostering a culture of collaboration, innovation, and professional growth. _Digital and Cloud Modernization_ : Experience in leading digital transformation and cloud modernization initiatives, leveraging cloud-native technologies and practices. _Communication and Collaboration_ : Excellent written and verbal communication skills, with the ability to interact effectively with multifunctional teams and strategic partners. _Problem Solving_ : Strong problem-solving skills, with the ability to work in a dynamic environment and adapt to changing business priorities. To Qualify for the Role You Must Have _Educational Background_ : A bachelor's degree or higher in Engineering, Computer Science, Data Science, or a related field. _Experience_ : Minimum 8 years of experience in data engineering, including significant experience in managing large-scale data projects and leading technical teams. _Proven Track Record_ : Demonstrated ability to recommend and implement complex data solutions, manage data pipelines, and drive data quality and reconciliation. _Technical Skills_ : Experience with AWS, Azure, Databricks, Python, Pyspark, API development, and cloud modernization practices. _Organizational Skills_ : Strong organizational skills with the ability to manage multiple projects simultaneously and lead globally distributed teams. Ideally, you'll also have Team Leadership: Experience in leading and influencing teams, with a focus on mentorship and professional development. Innovation Passion: A strong interest in applying emerging technologies to solve real-world data challenges. Inclusive Environment: 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 $142,600 to $325,800. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $171,100 to $370,300. 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. + **Continuous learning:** You'll develop the mindset and skills to navigate whatever comes next. + **Success as defined by you:** We'll provide the tools and flexibility, so you can make a meaningful impact, your way. + **Transformative leadership:** We'll give you the insights, coaching and confidence to be the leader the world needs. + **Diverse and inclusive culture:** You'll be embraced for who you are and empowered to use your voice to help others find theirs. 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.** EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here for additional information. EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.? EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com