Data Engineer

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Data Engineer embedded with the client's teams to design and deliver hands-on solutions on the AWS/Databricks platform. The role combines architecture and engineering, and you will build and prove solutions with the client. Work includes re-engineering legacy data workloads and supporting data migration from MySQL to Databricks Lakebase.

Responsibilities

• Work onsite or embedded with client teams to understand business problems and turn them into working technical solutions.

• Design and build data pipelines and integrations using Fivetran, Databricks, and AWS services.

• Lead technical design and delivery for migrating a Tier-1 application from MySQL to Databricks Lakebase, including schema re-design, data migration, cutover, and validation.

• Integrate SAP data through SAP BTP and BDC Connect, non-SAP data, and design domain centric data products.

• Build prototypes and reference implementations, then work with the client to harden them for production.

• Support data and AI use cases, including integration with GCP-based ML/GenAI components.

• Establish engineering standards: CI/CD, testing, observability, security, and cost control.

• Coach client and delivery team members, and communicate status, risks, and design decisions to stakeholders.

• Design end-to-end data solutions across multiple platforms, applying industry standards and best practices to meet client needs.

• Lead the development of data platform architectures, including cognitive components and unstructured data technologies, annotation, and related data and analytics.

• Manage and maintain large data repositories, ensuring scalability and performance.

• Create data solutions on cloud-native platforms (AWS, with GCP for ML/GenAI), tailored to client requirements.

• Collaborate with clients to understand their needs and deliver customized data solutions that meet their business objectives.

This job can be performed from anywhere in the US

• Must be able to travel 4 days per week (mandatory).

• Databricks Certified Data Engineer or Machine Learning Professional.

• Advanced hands-on expertise in data engineering and solution architecture, with demonstrated ability to design and deliver complex data solutions.

• Strong hands-on expertise with Databricks (Spark, Delta Lake, MLflow, Unity Catalog), AWS, SQL, and Python, including large-scale batch and streaming workloads.

• Experience with relational databases such as MySQL, database migration/re-engineering, Fivetran or similar ingestion/ELT technologies, and modern data-sharing patterns.

• Experience with Delta Lake, Apache Iceberg, and other open table formats, including schema evolution, optimisation, and interoperability across engines.

• Hands-on experience designing scalable data platforms and pipelines using technologies such as Kafka, Amazon EventBridge, or Amazon SQS, along with Terraform and CI/CD practices.

• Experience with Databricks Lakebase or similar managed PostgreSQL/OLTP-on-lakehouse technologies.

• Knowledge of SAP BTP, BDC Connect, SAP extraction patterns, or SAP IS-U.

• Exposure to GCP ML/GenAI services and cloud-native solution design across AWS and GCP.

• Experience with Git-based version control and branching strategies for data workloads.

• Experience in the utilities or energy industry, with relevant Databricks and/or AWS certification.

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:

- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being

- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs

- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law

- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals

- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences

We consider qualified applicants with criminal histories, consistent with applicable law.

This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.