Lead Data Engineering

Lead Data Engineering 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

The Lead Data Engineer II role on Deloitte’s AI & Data team focuses on shaping and governing enterprise data architecture while guiding delivery of data engineering solutions. The position also supports data migrations and partners with data scientists and stakeholders to ensure architecture choices meet both operational and analytical objectives.

Location and Work Arrangement

Baltimore, MD (onsite)

Compensation

Salary range: USD 110,700 to 174,600 per year
Incentive program: Possible discretionary annual incentive, subject to program rules and performance factors

Core 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, 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 current operational needs and future analytical goals.

Required Qualifications

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

Education

Bachelor’s degree

Experience and Skills

5+ years of experience designing database architectures, including recursive and hierarchical data structures.
4+ years with Structured Query Language (SQL) and data modeling, including relational, dimensional, and graph-oriented models.
4+ years with PySpark and extract, transform, load (ETL) pipeline tools.
Ability to obtain and maintain the required clearance for this role.
Travel: 25% on average, based on work and client engagements.
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.

Technology Focus

SQL
PySpark

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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

Deloitte’s AI and Data team is seeking a Lead Data Engineer II to help shape enterprise data architecture and ensure engineering delivery aligns with operational and analytical priorities. Based in Rosslyn, VA (onsite), this role provides technical leadership across pipeline and schema changes, with ownership of migration planning and cutover execution details.

In this position, you will define governance for enterprise data architecture, guide data engineering execution through code and quality controls, and partner with stakeholders across the organization to keep architecture decisions grounded in both current needs and future use cases.

Key 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 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, including relational, dimensional, and graph-oriented models.
4+ years with PySpark and extract, transform, load (ETL) pipeline tools.
Ability to obtain and maintain the required clearance for this role.
Travel 25% on average, based on work needs and the clients and industries/sectors served.
Must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Technologies

Structured Query Language (SQL)
PySpark
Extract, transform, load / extract, load, transform pipeline tools

Additional Incentive Information

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

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

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.

View full job page →

Today

Lead Data Engineer

Deloitte McLean, VA

McLean, VA

Today

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

Apply Now

Job Description

Join Deloitte’s AI & Data team in McLean, VA (onsite) as a Lead Data Engineer. In this role, you will help shape enterprise data architecture and establish canonical data models and platform standards that support consistent, scalable delivery. You’ll also lead technical oversight of data engineering execution, guide migration planning through cutover, and partner closely with data scientists, analysts, and business stakeholders to connect architecture decisions to operational needs and future analytics.

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 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.
Direct 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 current operations and future analytical requirements.

Requirements

Bachelor’s degree.
5+ years of experience designing database architectures, including recursive and hierarchical data structures.
4+ years of experience with Structured Query Language (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; extract, load, transform).
Ability to obtain and maintain the required clearance for this role.
Ability to travel 25% on average based on work with clients and industries or sectors served.
Must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Technologies

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

What a Strong Candidate Brings

Ability to work independently and collaborate as part of a team.
Effective written and verbal communication skills.
Meticulous attention to detail and quality-focused delivery.
Ability to build and sustain professional relationships.
Capability 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.

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.

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

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

Deloitte’s AI & Data team is seeking a Lead Data Engineer II to set direction for enterprise data architecture and to guide data engineering delivery and migration activities. The role partners with data scientists, analysts, and business stakeholders to ensure architectural decisions support both operational needs and analytical outcomes.

Role Overview

In this onsite position in Richmond, VA, you will define and govern enterprise data architecture, establish canonical data models and platform standards, and provide technical oversight across data engineering work. You will also lead planning and execution for data migration, including cutover readiness and validation activities.

Key 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 for 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 future analytical needs.

Required Qualifications

Ability to work independently while collaborating as part of a team.
Effective written and verbal communication skills.
Meticulous attention to detail and focus on 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 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 / extract, load, transform).
Must be able to obtain and maintain the required clearance for this role.
Ability to travel 25% average based on work, clients, and industries/sectors served.
Must be legally authorized to work in the United States without the need for 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
ETL (extract, transform, load)
ELT (extract, load, transform)
Relational models
Dimensional models
Graph-oriented models

Compensation

The wage range for this role is estimated at USD 110,700 to 174,600 per year.

View full job page →

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