Senior Data Platform Engineer - AWS/Databricks

International Business Machines Corporation

Denver (CO)

Remote

USD 140,000 - 200,000

Full time

2 days ago
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Job summary

IBM Consulting is seeking a Data Engineer embedded with client teams to design and deliver hands-on solutions on the AWS/Databricks platform. You will combine architecture and engineering while building and proving solutions with the client, including re-engineering legacy workloads and migrating data from MySQL to Databricks Lakebase.

You will design end-to-end data solutions across multiple platforms (AWS, with GCP for ML/GenAI), establish engineering standards, and coach stakeholders on

Qualifications

  • Advanced hands-on expertise in data engineering and solution architecture.
  • Experience with Databricks Spark, Delta Lake, MLflow, Unity Catalog.
  • Relational databases (MySQL) and data migration/re-engineering.
  • Proven ability to design scalable data platforms and pipelines.

Responsibilities

  • Design and build data pipelines and integrations using Fivetran, Databricks, and AWS services.
  • Lead technical design and delivery for migrating a Tier-1 MySQL application to Databricks Lakebase.
  • Collaborate with SAP data integration and non-SAP data to create data products.
  • Establish engineering standards: CI/CD, testing, observability, security, and cost control.
  • Coach client and delivery teams and communicate status and decisions to stakeholders.

Skills

Databricks
AWS
SQL
Python
Data architecture
CI/CD
Terraform

Tools

Databricks Lakebase
Fivetran
SAP BTP
GCP ML/GenAI
Git
Terraform

Job description

IBM Consulting is seeking a Data Engineer embedded with client teams to design and deliver hands-on solutions on the AWS/Databricks platform. You will combine architecture and engineering while building and proving solutions with the client, including re-engineering legacy workloads and migrating data from MySQL to Databricks Lakebase.

You will design end-to-end data solutions across multiple platforms (AWS, with GCP for ML/GenAI), establish engineering standards, and coach stakeholders on

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