Job Description
As a Senior Consultant Data Engineer, you will be a key contributor within Kearney Activate’s Solutions Architecture and Data Engineering practice. You will design, build, and maintain scalable data pipelines and infrastructure that support client data driven initiatives and enterprise transformations.
You will lead technical work streams, mentor junior team members, and collaborate closely with client stakeholders and cross functional teams to deliver high impact data solutions that enable advanced analytics, AI, and intelligent automation.
Key responsibilities
Data pipeline development
Design, implement, and optimize end to end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data across client environments
Develop robust ETL and ELT processes to integrate data from diverse sources into modern data ecosystems, including data lakes, data warehouses, and cloud native platforms
Implement data validation and quality checks to ensure accuracy, consistency, and reliability of data feeds
Evaluate and implement streaming and real time data processing solutions where applicable
Data modeling and architecture
Design and maintain data models, schemas, and database structures to support analytical, operational, and AI or ML use cases
Optimize data storage and retrieval mechanisms for performance, scalability, and cost efficiency
Evaluate and implement data storage solutions including relational databases, NoSQL databases, data lakes, data warehouses, and cloud storage services such as AWS S3, Azure Data Lake, Snowflake, and Data bricks
Contribute to the development of modern data architectures aligned with client business objectives and technical requirements
Data integration and API development
Build and maintain integrations with internal and external data sources, APIs, and enterprise systems
Implement RESTful APIs and web services for data access and consumption
Ensure compatibility and interoperability across systems and platforms
Design secure data exchange mechanisms that adhere to information security and compliance requirements
Data infrastructure management
Configure and manage data infrastructure components, including databases, data warehouses, data lakes, and distributed computing frameworks such as Spark and Data bricks
Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency
Implement data security controls and access management policies to protect sensitive client information
Leverage cloud platforms and services including AWS, Azure, and GCP to deploy and manage scalable data solutions
Technical leadership and innovation
Act as technical lead on project work streams, providing guidance and oversight to junior data engineers and analysts
Review code, data models, and technical designs to ensure adherence to best practices and standards
Remove technical blockers and enable continuous progress across delivery teams
Stay current with emerging technologies, including Gen AI capabilities, agentic architectures such as LangGraph and Agent Development Kit, Model Context Protocol, and automation frameworks
Evaluate and implement intelligent automation and AI driven solutions where logically and practically applicable
Contribute to internal knowledge repositories, reusable frameworks, and delivery accelerators
Client engagement and collaboration
Collaborate directly with client technical and functional stakeholders to understand data requirements and deliver tailored solutions
Partner with data scientists, analysts, architects, and business leaders to bridge technical execution and business outcomes
Participate in client presentations and technical discussions, communicating complex concepts clearly and professionally
Document technical designs, workflows, and best practices to support knowledge sharing and system maintenance
Provide technical guidance and support to team members, clients, and stakeholders as needed.
Who you are
After nearly 100 years, we know this business is fundamentally about making connections between data, technology, strategy, and people. We look for curious, collaborative problem solvers who bring rigor to execution and thrive in fast paced, client facing environments.
We want to hear from you if you have\:
Education and experience
A bachelor’s degree in computer science, Engineering, Information Systems, or a related field, with a master’s degree preferred
Five or more years of experience in data engineering, with significant exposure to client facing consulting or similar environments
Demonstrated experience leading technical work streams and mentoring junior resources
Technical skills
Proficiency in programming languages commonly used in data engineering, including Python and SQL, with Java or Scala a plus
Strong knowledge of database systems, data modeling techniques, and advanced SQL
Hands on experience with ETL and ELT tools such as Data bricks, Azure Data Factory, AWS Glue, Informatica Cloud, Talend, dbt, or Airflow
Experience with big data technologies and frameworks including Spark, Hadoop, Kafka, and Kinesis
Proven experience with cloud platforms and services such as Snowflake, AWS, and Azure, with Google Cloud Platform familiarity a plus
Strong understanding of data warehousing concepts, dimensional modeling, and modern data architecture patterns
Familiarity with GenAI applications in data engineering, agentic frameworks, and emerging technologies
Professional competencies
Excellent problem-solving skills and attention to detail
Strong communication skills with the ability to translate technical complexity for non-technical stakeholders
Effective collaboration skills in cross functional, team-oriented environments
Ability to manage multiple concurrent projects and adapt to shifting priorities
Self-motivated with a drive to deliver high quality work and continuously improve
A forward-thinking approach to technology and curiosity about emerging trends and capabilities
Security Clearance Requirement (or ability to obtain)\: Secret
This position requires an active Secret security clearance or the ability to obtain one. A Secret clearance is a U.S. government security clearance that allows access to classified national security information that could cause "serious damage" to national security if disclosed without authorization.
Key Points\:
Issued by the federal government after a background investigation
Requires U.S. citizenship
Involves investigation into criminal history, financial records, and personal conduct
Must be sponsored by a government agency or cleared defense contractor
Requires periodic reinvestigation (typically every 10 years)
Clearance processing typically takes 3-6 months but can vary
Candidates must be able to meet the eligibility requirements established by the U.S. government for access to classified information at the Secret level.
What we can offer you
Every day, our people work to make an impact for our clients, our colleagues, and our communities. At Kearney Activate, you will find competitive compensation, meaningful client work, and the opportunity to shape the future of data, AI, and enterprise transformation at scale.
We offer a comprehensive benefits package, including but not limited to\:
Competitive base compensation with discretionary performance bonuses
Comprehensive medical, dental, and vision coverage for employees and immediate family
Generous retirement and savings contributions
Non partner equity-based awards for consulting managers and above
Structured learning, technical growth, and leadership development opportunities
Flexible work and talent mobility programs, including remote work options and externships
Access to health, wellness, and family care benefits
Read more about our benefits and careers at kearney.com/careers.
Compensation Range\: $100k-$160k. It is important to note that at Kearney, it is not typical for an individual to be hired at the top of the range for their role. Individual salaries within each range are determined through a wide variety of factors including but not limited to education, experience, knowledge and skills. Kearney reviews compensation regularly and may adjust base salaries to reflect market competitiveness. In addition to salary, individuals may be eligible for a discretionary performance bonus. Our full suite of benefits includes paid time off, 401(k) match and profit sharing, medical, dental and vision coverage, healthcare concierge, backup child/adult care, annual employer HSA contribution, home office stipend, subsidized Gympass and annual wellness program, and leaves of absence when needed to support employees’ physical, mental, and emotional well-being.
Equal Employment Opportunity and Non-Discrimination
Kearney prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our colleagues, and our clients. Kearney aims to build diverse capabilities to help our clients solve their most mission critical problems. Kearney is committed to building a diverse, unbiased and inclusive workforce. Kearney is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in consulting are encouraged to apply.
Job Description
As a Senior Consultant Data Engineer, you will be a key contributor within Kearney Activate’s Solutions Architecture and Data Engineering practice. You will design, build, and maintain scalable data pipelines and infrastructure that support client data driven initiatives and enterprise transformations.
You will lead technical work streams, mentor junior team members, and collaborate closely with client stakeholders and cross functional teams to deliver high impact data solutions that enable advanced analytics, AI, and intelligent automation.
Key responsibilities
Data pipeline development
Design, implement, and optimize end to end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data across client environments
Develop robust ETL and ELT processes to integrate data from diverse sources into modern data ecosystems, including data lakes, data warehouses, and cloud native platforms
Implement data validation and quality checks to ensure accuracy, consistency, and reliability of data feeds
Evaluate and implement streaming and real time data processing solutions where applicable
Data modeling and architecture
Design and maintain data models, schemas, and database structures to support analytical, operational, and AI or ML use cases
Optimize data storage and retrieval mechanisms for performance, scalability, and cost efficiency
Evaluate and implement data storage solutions including relational databases, NoSQL databases, data lakes, data warehouses, and cloud storage services such as AWS S3, Azure Data Lake, Snowflake, and Data bricks
Contribute to the development of modern data architectures aligned with client business objectives and technical requirements
Data integration and API development
Build and maintain integrations with internal and external data sources, APIs, and enterprise systems
Implement RESTful APIs and web services for data access and consumption
Ensure compatibility and interoperability across systems and platforms
Design secure data exchange mechanisms that adhere to information security and compliance requirements
Data infrastructure management
Configure and manage data infrastructure components, including databases, data warehouses, data lakes, and distributed computing frameworks such as Spark and Data bricks
Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency
Implement data security controls and access management policies to protect sensitive client information
Leverage cloud platforms and services including AWS, Azure, and GCP to deploy and manage scalable data solutions
Technical leadership and innovation
Act as technical lead on project work streams, providing guidance and oversight to junior data engineers and analysts
Review code, data models, and technical designs to ensure adherence to best practices and standards
Remove technical blockers and enable continuous progress across delivery teams
Stay current with emerging technologies, including Gen AI capabilities, agentic architectures such as LangGraph and Agent Development Kit, Model Context Protocol, and automation frameworks
Evaluate and implement intelligent automation and AI driven solutions where logically and practically applicable
Contribute to internal knowledge repositories, reusable frameworks, and delivery accelerators
Client engagement and collaboration
Collaborate directly with client technical and functional stakeholders to understand data requirements and deliver tailored solutions
Partner with data scientists, analysts, architects, and business leaders to bridge technical execution and business outcomes
Participate in client presentations and technical discussions, communicating complex concepts clearly and professionally
Document technical designs, workflows, and best practices to support knowledge sharing and system maintenance
Provide technical guidance and support to team members, clients, and stakeholders as needed.
Who you are
After nearly 100 years, we know this business is fundamentally about making connections between data, technology, strategy, and people. We look for curious, collaborative problem solvers who bring rigor to execution and thrive in fast paced, client facing environments.
We want to hear from you if you have\:
Education and experience
A bachelor’s degree in computer science, Engineering, Information Systems, or a related field, with a master’s degree preferred
Five or more years of experience in data engineering, with significant exposure to client facing consulting or similar environments
Demonstrated experience leading technical work streams and mentoring junior resources
Technical skills
Proficiency in programming languages commonly used in data engineering, including Python and SQL, with Java or Scala a plus
Strong knowledge of database systems, data modeling techniques, and advanced SQL
Hands on experience with ETL and ELT tools such as Data bricks, Azure Data Factory, AWS Glue, Informatica Cloud, Talend, dbt, or Airflow
Experience with big data technologies and frameworks including Spark, Hadoop, Kafka, and Kinesis
Proven experience with cloud platforms and services such as Snowflake, AWS, and Azure, with Google Cloud Platform familiarity a plus
Strong understanding of data warehousing concepts, dimensional modeling, and modern data architecture patterns
Familiarity with GenAI applications in data engineering, agentic frameworks, and emerging technologies
Professional competencies
Excellent problem-solving skills and attention to detail
Strong communication skills with the ability to translate technical complexity for non-technical stakeholders
Effective collaboration skills in cross functional, team-oriented environments
Ability to manage multiple concurrent projects and adapt to shifting priorities
Self-motivated with a drive to deliver high quality work and continuously improve
A forward-thinking approach to technology and curiosity about emerging trends and capabilities
Security Clearance Requirement (or ability to obtain)\: Secret
This position requires an active Secret security clearance or the ability to obtain one. A Secret clearance is a U.S. government security clearance that allows access to classified national security information that could cause "serious damage" to national security if disclosed without authorization.
Key Points\:
Issued by the federal government after a background investigation
Requires U.S. citizenship
Involves investigation into criminal history, financial records, and personal conduct
Must be sponsored by a government agency or cleared defense contractor
Requires periodic reinvestigation (typically every 10 years)
Clearance processing typically takes 3-6 months but can vary
Candidates must be able to meet the eligibility requirements established by the U.S. government for access to classified information at the Secret level.
What we can offer you
Every day, our people work to make an impact for our clients, our colleagues, and our communities. At Kearney Activate, you will find competitive compensation, meaningful client work, and the opportunity to shape the future of data, AI, and enterprise transformation at scale.
We offer a comprehensive benefits package, including but not limited to\:
Competitive base compensation with discretionary performance bonuses
Comprehensive medical, dental, and vision coverage for employees and immediate family
Generous retirement and savings contributions
Non partner equity-based awards for consulting managers and above
Structured learning, technical growth, and leadership development opportunities
Flexible work and talent mobility programs, including remote work options and externships
Access to health, wellness, and family care benefits
Read more about our benefits and careers at kearney.com/careers.
Compensation Range\: $100k-$160k. It is important to note that at Kearney, it is not typical for an individual to be hired at the top of the range for their role. Individual salaries within each range are determined through a wide variety of factors including but not limited to education, experience, knowledge and skills. Kearney reviews compensation regularly and may adjust base salaries to reflect market competitiveness. In addition to salary, individuals may be eligible for a discretionary performance bonus. Our full suite of benefits includes paid time off, 401(k) match and profit sharing, medical, dental and vision coverage, healthcare concierge, backup child/adult care, annual employer HSA contribution, home office stipend, subsidized Gympass and annual wellness program, and leaves of absence when needed to support employees’ physical, mental, and emotional well-being.
Equal Employment Opportunity and Non-Discrimination
Kearney prides itself on providing a culture that allows employees to bring their best selves to work every day. Our people can feel comfortable, confident, and joyful to do great things for our firm, our colleagues, and our clients. Kearney aims to build diverse capabilities to help our clients solve their most mission critical problems. Kearney is committed to building a diverse, unbiased and inclusive workforce. Kearney is an equal opportunity employer; we recruit, hire, train, promote, develop, and provide other conditions of employment without regard to a person’s gender identity or expression, sexual orientation, race, religion, age, national origin, disability, marital status, pregnancy status, veteran status, genetic information or any other differences consistent with applicable laws. This includes providing reasonable accommodation for disabilities, or religious beliefs and practices. Members of communities historically underrepresented in consulting are encouraged to apply.
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