Apply on Employer Site

Kearney · 4 hours ago

Kearney Activate Senior Consultant Data Engineer

Boston, NY

Full-time

Hybrid

Senior Level

5+ years exp

Kearney is a leading consulting firm seeking a Senior Consultant Data Engineer to contribute to Kearney Activate’s Solutions Architecture and Data Engineering practice. In this role, you will design and maintain scalable data pipelines and infrastructure, lead technical work streams, and collaborate with clients to deliver impactful data solutions.

CollaborationConsultingInformation TechnologyManagement Consulting

Growth Opportunities

H1B Sponsor Likely

Responsibilities

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

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

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

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

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

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

Qualification

Data pipeline developmentETLELT processesCloud platformsData modelingPythonSQLData warehousingBig data technologiesCommunication skillsProblem-solving skillsCollaboration skillsAttention to detail

Required

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

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

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

Benefits

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

Company

Kearney

Glassdoor4.2

Kearney is a management consulting firm offering solutions to strategic and operational CEO agenda issues.

Founded in 1926

Chicago, Illinois, USA

5001-10000 employees

https://www.kearney.com/

H1B Sponsorship

Kearney has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (73)

2024 (69)

2023 (81)

2022 (94)

2021 (64)

2020 (24)