Lead Consultant, Data Engineer

Accountabilities

In this role, you will contribute to the successful delivery of client data engineering engagements by combining hands-on technical execution with consulting responsibilities, including:

• Designing and implementing complex ETL/ELT pipelines, improving data processing efficiency and scalability across enterprise systems.

• Leading or supporting data warehousing initiatives, including performance optimization and solution design under the guidance of engagement leads.

• Building and managing data integrations and real-time or streaming data solutions using modern cloud platforms.

• Working with SAP data structures (including S/4HANA and SAP HANA), interpreting data in relation to underlying business processes.

• Supporting solution architecture discussions and contributing to project planning and technical design decisions.

• Implementing CI/CD pipelines, version control strategies, and branching models for reliable deployment workflows.

• Ensuring data security, governance, and compliance requirements are embedded into engineering solutions.

• Collaborating directly with clients, internal teams, and stakeholders to deliver high-quality, business-aligned data solutions.

Requirements

This position requires strong hands-on data engineering experience combined with client-facing consulting capabilities:

• 3–5 years of experience in data engineering, big data, or related fields, including at least 2 years in client-facing roles.

• Strong expertise in data warehousing concepts and practical experience building pipelines using Databricks.

• Solid understanding of data modeling, database design, and version control systems.

• Experience working with SAP data environments, including SAP S/4HANA or SAP HANA.

• Ability to interpret complex data structures and connect them to business processes.

• Proficiency in designing scalable ETL/ELT and cloud-based data solutions (AWS, Azure, or similar).

• Strong communication skills with the ability to engage effectively with both technical and non-technical stakeholders.

• Bachelor’s degree in Computer Science or a related technical field (or equivalent experience).

• Ability to work independently while contributing to collaborative, team-based delivery environments.

Benefits

• Fully remote work opportunity within the United States

• Exposure to high-impact enterprise projects across multiple industries

• Opportunity to work with modern data platforms including Databricks and leading cloud technologies

• Collaborative and inclusive team environment focused on innovation and knowledge sharing

• Strong professional growth opportunities through client-facing consulting experience

• Work alongside experienced data engineers and architecture experts

• Equal opportunity and inclusive hiring practices

• Engagement in challenging projects that encourage continuous learning and technical advancement

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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