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EY · 1 week ago

Databricks Data Engineer - Manager - Consulting - Location Open 1

Indianapolis, IN

Full-time

Hybrid

Mid, Senior Level

$126K/yr - $230K/yr

4+ years exp

EY is a globally connected powerhouse of diverse teams, and they are seeking a dynamic and experienced Manager of Data Engineering. In this role, you will lead the design and implementation of complex cloud analytics solutions with a focus on Databricks while managing client relationships and mentoring a team of data engineers.

AccountingAdviceBusiness IntelligenceConsultingFinancial ServicesProfessional Services

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Leading workstream delivery and ensuring quality in all processes

Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services

Implementing resource plans and budgets while managing engagement economics

Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP)

Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices

Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement

Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value

Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance

Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services

Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress

Manage client relationships and expectations, ensuring high levels of satisfaction and engagement

Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics

Qualification

DatabricksCloud technologiesData architectureData engineeringPythonSparkClient managementProject managementLeadershipCommunication skillsProblem-solvingTeam management

Required

Bachelor's degree in computer science, Engineering, or a related field required

Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics

Proven expertise in Databricks and experience with Spark for big data processing

Strong background in data architecture and design, with experience in building complex cloud analytics solutions

Experience in leading and managing teams, with a focus on mentoring and developing talent

Strong programming skills in languages such as Python, Scala, or SQL

Excellent problem-solving skills and the ability to work independently and as part of a team

Strong communication and interpersonal skills, with a focus on client management

Ability to align data engineering initiatives with organizational goals and drive strategic vision

Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope

Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively

Skills in guiding clients through change processes related to data transformation and technology adoption

Ability to identify potential risks in data projects and develop mitigation strategies

Experience in leading technical discussions and making architectural decisions that impact project outcomes

Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients

Preferred

Master's degree preferred

Experience with advanced data analytics tools and techniques

Familiarity with machine learning concepts and applications

Knowledge of industry trends and best practices in data engineering

Familiarity with cloud platforms (AWS, Azure, GCP) and their data services

Knowledge of data governance and compliance standards

Experience with machine learning frameworks and tools

Benefits

Medical and dental coverage

Pension and 401(k) plans

Paid time off options

Flexible vacation policy

Designated EY Paid Holidays

Winter/Summer breaks

Personal/Family Care

Other leaves of absence when needed to support your physical, financial, and emotional well-being

Company

EY

Glassdoor3.8

EY is building a better working world by creating new value for clients, people, society, the planet, while building trust in the capital markets.

Founded in 1989

London, England, GBR

10001+ employees

http://www.ey.com

H1B Sponsorship

EY has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (10242)

2024 (9877)

2023 (10966)

2022 (9394)

2021 (5652)

2020 (8849)