Kearney Activate Senior Consultant Data Engineer

Kearney
Americas
Workplace: RemoteFull timeFunction: Consulting & AdvisoryExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Leadership","Mentorship","Collaboration","Problem-solving"]

As a Senior Consultant Data Engineer, you will design, build, and maintain scalable data pipelines and infrastructure to support client data-driven initiatives and enterprise transformations. You will lead technical work streams, mentor junior team members, and collaborate with client stakeholders and cross-functional teams to deliver high-impact data solutions enabling advanced analytics, AI, and intelligent automation.

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FursaFursa
Kearney
Kearney
7 months ago

Kearney Activate Senior Consultant Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

As a Senior Consultant Data Engineer, you will design, build, and maintain scalable data pipelines and infrastructure to support client data-driven initiatives and enterprise transformations. You will lead technical work streams, mentor junior team members, and collaborate with client stakeholders and cross-functional teams to deliver high-impact data solutions enabling advanced analytics, AI, and intelligent automation.
Location: Americas
Workplace: Remote
Employment Type: Full time · Permanent
Job Function: Consulting & Advisory

Key Responsibilities

  • •Design, build, and optimize end to end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data across client environments.
  • •Design and maintain data models, schemas, and database structures to support analytical, operational, and AI/ML use cases.
  • •Build and maintain integrations with internal and external data sources, APIs, and enterprise systems; implement RESTful APIs and web services for data access.
  • •Configure and manage data infrastructure components, including databases, data warehouses, data lakes, and distributed computing frameworks such as Spark and Data bricks.
  • •Act as technical lead on project work streams, mentoring junior engineers and collaborating with clients and cross-functional teams.

Pay and Benefits

Perks:MedicalDentalVision401kEquityWellness StipendProfit Sharing

Key Requirements

  • •Five or more years of experience in data engineering, with significant exposure to client facing consulting or similar environments.
  • •Proficiency in programming languages commonly used in data engineering, including Python and SQL, with Java or Scala a plus.
  • •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.
  • •Familiarity with cloud platforms and services such as Snowflake, AWS, and Azure, with Google Cloud Platform familiarity a plus.
Experience:5+ yearsData engineeringConsultingAIGenAI
Education:Bachelor's in Computer Science
Skills:CommunicationLeadershipMentorshipCollaborationProblem-solving
Tech Stack:PythonSQLJavaScalaData bricksAzure Data FactoryAWS GlueInformatica CloudTalendDbtAirflowSparkHadoopKafkaKinesisSnowflakeAWSAzureGoogle Cloud PlatformRESTful APIs

Eligibility

Nationality:US National
Security Clearance:Secret

Company Brief

Kearney
Global management consulting firm advising businesses, governments, and institutions on strategy, operations, technology, and transformation to drive growth and performance across industries worldwide.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: Chicago, United States
Founded: 1926
WebsiteLinkedIn