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About the Role
As a Data Platform Support Lead, you will have the ability to share new ideas and collaborate on high-impact projects supporting mission-critical financial services initiatives without extensive travel demands, working within Deloitte's Project Delivery Talent Model for long-term, onsite client service delivery.
Responsibilities
- Design and implement data platform components, including ingestion, transformation, storage, and access patterns.
- Build and maintain data pipelines using cloud-based services and modern data engineering tools.
- Apply engineering practices for data quality, testing, monitoring, security, and performance.
- Collaborate with architects, analysts, and client stakeholders to turn requirements into technical designs and deliverables.
- Troubleshoot platform and pipeline issues and recommend practical improvements.
- Contribute to technical documentation, code reviews, and team knowledge sharing.
Requirements
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- 5+ years of experience in data engineering, data platform development, or a related field.
- 4+ years of hands-on experience building and supporting data pipelines using SQL and a programming language such as Python or Scala.
- 3+ years of experience with a cloud data platform or major cloud provider, such as AWS, Azure, or Google Cloud.
- 3+ years of experience with data modeling, data warehousing, or distributed data processing.
- 2+ years of experience using version control and collaborative software development practices, such as Git and code reviews.
- 2+ years of experience applying data quality, testing, monitoring, or observability practices to production data solutions.
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.
Skills
- Data engineering
- Data platform development
- SQL
- Python
- Scala
- Cloud data platform
- AWS
- Azure
- Google Cloud
- Data modeling
- Data warehousing
- Distributed data processing
- Version control
- Git
- Code reviews
- Data quality
- Testing
- Monitoring
- Observability
Location
- Atlanta, Georgia, United States
- Boston, Massachusetts, United States
- Charlotte, North Carolina, United States
- Cincinnati, Ohio, United States
- Columbus, Ohio, United States
- Hartford, Connecticut, United States
- Jersey City, New Jersey, United States
- New York, New York, United States
- Philadelphia, Pennsylvania, United States
- Raleigh, North Carolina, United States
- Washington, District of Columbia, United States
Work Type
- Remote – US Based
Experience Level
- 5+ years of experience in data engineering, data platform development, or a related field.
- 4+ years of hands-on experience building and supporting data pipelines using SQL and a programming language such as Python or Scala.
- 3+ years of experience with a cloud data platform or major cloud provider, such as AWS, Azure, or Google Cloud.
- 3+ years of experience with data modeling, data warehousing, or distributed data processing.
- 2+ years of experience using version control and collaborative software development practices, such as Git and code reviews.
- 2+ years of experience applying data quality, testing, monitoring, or observability practices to production data solutions.
Education Level
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical discipline, and/or equivalent professional experience.
Salary/Compensations
- $104700 to $179900
Benefits
- Discretionary annual incentive program
- Opportunities to build new skills
- Leadership opportunities
- Mentorship
- On-the-job learning experiences
- Formal development programs
About the Company
- AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated and verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.
- Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services.
- Deloitte's purpose is to make an impact that matters for our people, clients, and communities.
- Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.