Senior Technical Consultant - Data & Analytics

Ladders; United States; Teletrabalho; USD 160 000 - 200 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Medical Insurance

Dental Insurance

Vision Insurance

401(k)

Paid holidays

Paid time off

Parental leave

Caregiver leave

Resumo da oferta

Ladders is seeking a Senior Technical Consultant - Data & Analytics to join a leader in IT. The role focuses on designing and delivering modern data solutions, turning complex information into actionable insights, and partnering with client stakeholders and scrum teams to build scalable architectures.

This position blends hands-on engineering with consulting, requiring technical depth and strong client-facing communication.

Qualificações

• 8+ years of professional technical experience.
• 4+ years of hands-on experience in data architecture and data modeling.
• 4+ years of experience building scalable data solutions with Hadoop, Spark, Databricks, and Snowflake.
• 4+ years of programming experience in Python.
• 2+ years of experience in cloud environments (AWS and/or Azure).
• Strong client-facing communication and facilitation skills.

Responsabilidades

• Design, build, operationalize, secure, and monitor data processing systems.
• Create automated pipelines for structured and unstructured data ingestion.
• Implement custom applications using tools like Kinesis and Lambda for streaming use cases.
• Engineer and support SQL and NoSQL data structures.
• Maintain ELT processes for data lakes and cloud storage environments.
• Engineer APIs for data retrieval to enterprise applications.
• Collaborate with scrum team members to estimate and deliver work.

Conhecimentos

Python

Cloud platforms

Client-facing communication

Ferramentas

Hadoop

Spark

Databricks

Snowflake

Kinesis

Lambda

SQL

NoSQL

Descrição da oferta de emprego

For our client, we are seeking a Senior Technical Consultant - Data & Analytics to join the team of a leader in the Information Technology space.

This role will focus on designing and delivering modern data solutions that help clients turn complex information into reliable, actionable insights. You will partner closely with client stakeholders and scrum teams to build scalable architectures, streamline data movement, and improve access to trusted data across enterprise environments. The position combines hands‑on engineering with consulting, requiring both technical depth and strong client‑facing communication.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $160,000 – $200,000 annually

Responsibilities

• Design, build, operationalize, secure, and monitor data processing systems
• Create automated pipelines for structured and unstructured data ingestion
• Implement custom applications using tools like Kinesis and Lambda for streaming use cases
• Engineer and support SQL and NoSQL data structures
• Maintain ELT processes for data lakes and cloud storage environments
• Engineer APIs for data retrieval to enterprise applications
• Collaborate with scrum team members to estimate and deliver work

Qualifications

• 8+ years of professional technical experience
• 4+ years of hands‑on experience in data architecture and data modeling
• 4+ years of experience building scalable data solutions with Hadoop, Spark, Databricks, and Snowflake
• 4+ years of programming experience in Python
• 2+ years of experience in cloud environments (AWS and/or Azure)
• Strong client‑facing communication and facilitation skills

Benefits

• Medical, Dental, and Vision Insurance
• 401(k)
• Paid company holidays
• Paid time off
• Paid parental and caregiver leave
• Additional benefits available on the company website

Our client is an equal opportunity employer.