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About the Role

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Responsibilities

Lead small engagements or key workstreams within larger technology transformation programs for clients
Manage cross-functional distributed delivery teams and client relationships across the engagement lifecycle, while contributing to proposal and business development efforts
Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams

Requirements

8+ years of experience in data engineering and distributed data platforms, including architecting and governing enterprise-scale Big Data, cloud, and AI/ML platforms across Azure, AWS, GCP, and on-premises environments, with deep Databricks Lakehouse expertise: Delta Lake, Delta Live Tables, Unity Catalog, Auto Loader, PySpark, and Spark SQL.
3+ years of experience designing and developing Cloud based Azure and AWS-based data engineering solutions, with hands-on experience using services such as AWS Glue, EMR, EKS, S3, Lambda, RDS, OpenSearch and CloudWatch
2+ years of experience leading and delivering engagements with geographically distributed, cross-functional teams
Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
Limited immigration sponsorship may be available

Skills

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 build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to mentor and provide clear guidance to others
Delta Lake
Delta Live Tables
Unity Catalog
Auto Loader
PySpark
Spark SQL
AWS Glue
EMR
EKS
S3
Lambda
RDS
OpenSearch
CloudWatch
batch and streaming data pipelines
data governance
data quality
platform security controls

Location

Atlanta, Georgia, United States
Boston, Massachusetts, United States
Charlotte, North Carolina, United States
Cincinnati, Ohio, United States
Cleveland, Ohio, United States
Columbus, Ohio, United States
Dallas, Texas, United States
Denver, Colorado, United States
Detroit, Michigan, United States
Houston, Texas, United States
Indianapolis, Indiana, United States
Kansas City, Missouri, United States
Los Angeles, California, United States
McLean, Virginia, United States
Miami, Florida, United States
Minneapolis, Minnesota, United States
Morristown, New Jersey, United States
Nashville, Tennessee, United States
New York, New York, United States
Philadelphia, Pennsylvania, United States
Pittsburgh, Pennsylvania, United States
Rosslyn, Virginia, United States
Sacramento, California, United States
San Diego, California, United States
San Francisco, California, United States
San Jose, California, United States
Seattle, Washington, United States
St. Louis, Missouri, United States
Stamford, Connecticut, United States
Tampa, Florida, United States
Tempe, Arizona, United States

Work Type

Onsite

Experience Level

Manager
Lead Data Engineer II
8+ years of experience
3+ years of experience
2+ years of experience

Education Level

Bachelor's or master’s degree in computer science, engineering, data science, artificial intelligence, information technology, or a related field
Master’s degree

Salary/Compensations

$134500 to $265100

Benefits

Discretionary annual incentive program

About the Company

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/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.
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively.
Deloitte’s purpose is to make an impact that matters for our people, clients, and communities.
From entry-level employees to senior leaders, we believe there’s always room to learn.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP.

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.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.
We provide an equal opportunity to eligible applicants.