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PwC · 5 hours ago

Data Engineer - Senior Manager

MI-Grand Rapids

Full-time

Onsite

Senior Level, Lead/Staff, Director/Executive

$124K/yr - $280K/yr

8+ years exp

PwC is a leading firm in data and analytics engineering, focusing on leveraging advanced technologies to develop robust data solutions for clients. As a Senior Manager in Data Engineering, you will design and implement data architecture strategies, lead large-scale projects, and collaborate with business stakeholders to translate their data requirements into technical solutions.

AccountingBusiness DevelopmentConsultingFinanceFinancial ServicesTax Consulting

No H1B

Responsibilities

Design and implement thorough data architecture strategies

Lead large-scale projects and innovate processes

Maintain operational excellence and client interactions

Develop and document data models and data flow diagrams

Adhere to data governance and security policies

Collaborate with business stakeholders to translate data requirements into technical solutions

Drive project success through strategic advising and problem-solving

Foster a diverse and inclusive team environment

Qualification

Data architecture strategiesData models documentationCloud platforms certificationData governance complianceData technologies evaluationStakeholder collaborationThought leadershipTeam motivationProblem-solving

Required

Bachelor's Degree

8 years of experience

Preferred

Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus

Designing and implementing thorough data architecture strategies

Developing and documenting data models and data flow diagrams

Maintaining data architecture compliance with governance and security policies

Collaborating with stakeholders to translate data requirements into solutions

Evaluating and recommending new data technologies and tools

Leading data strategy engagements providing thought leadership

Developing leading practices for Data Engineering, Data Science, and Data Governance

Architecting and implementing cloud-based solutions meeting industry standards