Lead Data Engineering

Lead Data Engineering Developer Jobs

4 jobs found

Today

Lead Data Engineer

Deloitte Baltimore, MD

Baltimore, MD

Today

$111k - $175k/yr Full time Big Data Bigdata Data

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Job Description

Deloitte’s AI & Data team is seeking a Lead Data Engineer II to help shape and execute an enterprise data approach that supports both operations and analytics. In this onsite role in Baltimore, MD, you will define data architecture, govern canonical data models, and provide technical leadership across delivery and migration efforts.

As a lead on the team, you will partner with data scientists, analysts, and business stakeholders to ensure architectural decisions map to real operational needs and future analytical requirements. This position is designed for an experienced engineer who can balance governance, hands-on technical oversight, and delivery leadership across complex data systems.

What You’ll Do

Define and govern enterprise data architecture, including logical and physical data models, database schemas, and hierarchical and recursive data structures.
Design and oversee canonical data models, ontology structures, and platform data standards to improve consistency, scalability, and system performance.
Provide technical oversight of data engineering delivery, including pipeline design, schema changes, code reviews, quality controls, and architectural approvals.
Lead data migration planning and execution, covering sequencing, mapping, validation, reconciliation, rollback planning, and issue resolution during cutover.
Collaborate with data scientists, analysts, and business stakeholders to align architecture decisions with operational requirements and analytical needs.

Required Qualifications

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, dynamic environment.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines.
Ability to mentor and provide clear guidance to others.
Bachelor’s degree.
5+ years of experience designing database architectures, including recursive and hierarchical data structures.
4+ years with SQL and data modeling across relational, dimensional, and graph-oriented models.
4+ years with PySpark and ETL/ELT-style pipeline tooling.
Must be able to obtain and maintain the required clearance for the role.
Must be able to travel 25% on average.
Must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Preferred Qualifications

Experience leading enterprise data migration efforts from legacy systems to target-state platforms.
Experience leading data engineering teams or technical workstreams.
Experience translating business requirements into technical data architecture designs.

Technologies

SQL
PySpark

Compensation

USD 110,700 - 174,600 per year (estimated wage range).
You may be eligible for a discretionary annual incentive program, subject to program rules and factors including individual and organizational performance.

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Today

Lead Data Engineer II

Deloitte Rosslyn, VA

Rosslyn, VA

Today

$111k - $175k/yr Full time Manager Big Data Data

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Job Description

Work on Deloitte’s AI & Data team in Rosslyn, VA (onsite) as a Lead Data Engineer II. This role supports enterprise impact by guiding how data is modeled, governed, and delivered across operational and analytical needs. You will set the direction for data architecture, provide technical oversight of data engineering delivery, and lead critical migration and cutover activities.

Salary range: USD 110,700 to 174,600 per year. Location: Rosslyn, VA (onsite). Experience: 5+ years. Education: Bachelor’s degree.

Responsibilities

Define and govern enterprise data architecture, including logical and physical data models, database schemas, and hierarchical and recursive data structures.
Design and oversee canonical data models, including ontology structures and platform data standards to improve consistency, scalability, and system performance.
Provide technical oversight for data engineering delivery, covering pipeline design, schema changes, code reviews, quality controls, and architectural approvals.
Lead data migration planning and execution, including sequencing, mapping, validation, reconciliation, rollback planning, and issue resolution during cutover.
Partner with data scientists, analysts, and business stakeholders to align architecture decisions with both current operational requirements and future analytical needs.

Requirements

Bachelor’s degree
5+ years designing database architectures, including recursive and hierarchical data structures
4+ years with SQL and data modeling across relational, dimensional, and graph-oriented models
4+ years with PySpark and extract, transform, load pipeline tooling (ETL)
Ability to obtain and maintain required clearance for this role
Travel 25% on average based on work, clients, and industries/sectors served
Legally authorized to work in the United States without employer sponsorship, now or in the future

Technologies

SQL
PySpark
Extract, transform, load (ETL) tooling

Benefits

You may also be eligible to participate in a discretionary annual incentive program, subject to program rules. Awards, if any, depend on factors including individual and organizational performance.

Preferred

Experience leading enterprise data migration efforts from legacy systems to target-state platforms
Experience leading data engineering teams or technical workstreams
Experience translating business requirements into technical data architecture designs

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Today

Lead Data Engineer

Deloitte McLean, VA

McLean, VA

Today

$111k - $175k/yr Full time Manager Big Data Data

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Job Description

Deloitte’s AI & Data team is building and operating enterprise data foundations that enable consistent analytics and scalable engineering delivery. As a Lead Data Engineer II based in McLean, VA (onsite), you will set direction for enterprise data architecture, standardize canonical data models, and provide technical oversight across data engineering execution. The role also includes directing data migration planning and cutover support while partnering closely with data scientists, analysts, and business stakeholders.

This position offers a salary range of USD 110,700 to 174,600 per year and requires 5+ years of relevant experience and a bachelor’s degree.

What You’ll Do

Define and govern enterprise data architecture, including logical and physical data models, database schemas, and hierarchical and recursive data structures.
Design and oversee canonical data models, including ontology structures and platform data standards that support consistency, scalability, and system performance.
Provide technical oversight of data engineering delivery through pipeline design, schema change reviews, code review, quality controls, and architectural approvals.
Direct data migration planning and execution by managing sequencing, mapping, validation, reconciliation, rollback planning, and issue resolution during cutover.
Collaborate with data scientists, analysts, and business stakeholders to align architecture decisions with operational requirements and future analytical needs.

Required Qualifications

Bachelor’s degree.
5+ years designing database architectures, including recursive and hierarchical data structures.
4+ years with Structured Query Language (SQL) and data modeling across relational, dimensional, and graph-oriented models.
4+ years with PySpark and extract, transform, load (ETL) and extract, load, transform (ELT) pipeline tooling.
Ability to obtain and maintain the required clearance for this role.
Travel up to 25% on average, based on work with clients and industry/sectors served.
Must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future.

Technologies

Structured Query Language (SQL)
PySpark
Extract, transform, load (ETL)
Extract, load, transform (ELT)

Additional Skills for Success

Ability to work independently while collaborating as part of a team.
Effective written and verbal communication.
Meticulous attention to detail and quality of work product.
Ability to build and sustain professional relationships.
Capability to lead projects or workstreams.
Manage and prioritize multiple tasks in a fast-paced environment.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines.
Ability to mentor and provide clear guidance to others.

Preferred Qualifications

Experience leading enterprise data migration from legacy systems to target-state platforms.
Experience leading data engineering teams or technical workstreams.
Experience translating business requirements into technical data architecture designs.

View full job page →

Today

Lead Data Engineer

Deloitte Richmond, VA

Richmond, VA

Today

$111k - $175k/yr Full time Manager Analytics Business Intelligence

Apply Now

Job Description

As a Lead Data Engineer on Deloitte’s AI and Data team in Richmond, VA, you will help set the direction for enterprise data architecture while guiding delivery of data engineering work and overseeing migration efforts. The role partners closely with data scientists, analysts, and business stakeholders to ensure architectural decisions meet operational and analytical needs.

Role Focus

You will define and govern enterprise data architecture, including both the models and standards that enable consistent, scalable data use. You will also provide technical leadership across data engineering delivery and coordinate data migration planning and execution.

Responsibilities

Define and govern enterprise data architecture, including logical and physical data models, database schemas, and hierarchical and recursive data structures.
Design and oversee canonical data models, ontology structures, and platform data standards to support consistency, scalability, and system performance.
Provide technical oversight of data engineering delivery, including pipeline design, schema changes, code reviews, quality controls, and architectural approvals.
Lead data migration planning and execution, including sequencing, mapping, validation, reconciliation, rollback planning, and issue resolution during cutover.
Collaborate with data scientists, analysts, and business stakeholders to align architecture decisions with current operational requirements and future analytical needs.

Required Skills and Qualifications

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, dynamic environment.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines.
Ability to mentor and provide clear guidance to others.

Education and Experience

Bachelor’s degree.
5+ years of experience designing database architectures, including recursive and hierarchical data structures.
4+ years of experience with SQL and data modeling, including relational, dimensional, and graph-oriented models.
4+ years of experience with PySpark and ETL/ELT pipeline tools (extract, transform, load and extract, load, transform).

Security, Authorization, and Travel

Ability to obtain and maintain the required clearance for this role.
Travel of 25% on average, based on work with clients and industries/sectors served.
Must be legally authorized to work in the United States without employer sponsorship, now or at any time in the future.

Technologies

SQL
PySpark
ETL (extract, transform, load)
ELT (extract, load, transform)
Relational models
Dimensional models
Graph-oriented models

Preferred Qualifications

Experience leading enterprise data migration efforts from legacy systems to target-state platforms.
Experience leading data engineering teams or technical workstreams.
Experience translating business requirements into technical data architecture designs.

Location and Compensation

Location: Richmond, VA (onsite)

Compensation: USD 110,700 - 174,600 per year

The wage range estimate for this role is $110,700 to $174,600 annually.

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