Databricks Platform & Data Engineer

Req  DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Databricks Platform & Data Engineer to join our team on-site in either Plano, TX;
Chicago, IL;
Minneapolis, MN; or Atlanta, GA.

Job Description:

Databricks Platform & Data Engineer (CoE)
Locations:
Plano, TX | Minneapolis, MN | Chicago, IL | Atlanta, GAOrganization: NTT DATA – Databricks Center of Excellence (CoE)

Experience:

12+ years overall; 5+ years with Databricks (enterprise-scale)
OverviewNTT DATA is seeking a senior Databricks Platform & Data Engineer to join our Databricks Center of Excellence (CoE). This role blends platform engineering, architecture, and hands-on data engineering, with a focus on building and scaling enterprise-grade Databricks environments for large, regulated clients.

The ideal candidate will lead platform setup, governance, and adoption, while partnering directly with clients to design and deliver high-impact use cases leveraging the latest Databricks capabilities (e.g., Dataflow, Unity Catalog, AI/BI, Genie).This is a client-facing consulting role requiring strong technical depth, communication skills, and the ability to translate business requirements into scalable data platform solutions.

Key Responsibilities Platform Engineering & Architecture Design and deploy enterprise-scale Databricks Lakehouse platforms across AWS/Azure Establish secure, governed environments using Unity Catalog, role-based access controls, and data lineage

Define platform standards, reusable patterns, and guardrails for scalable adoption

Optimize platform performance, cost, and reliability for production workloads

Implement CI/CD, environment promotion, and Dev Ops automation for Databricks Databricks Feature Enablement Lead adoption of modern Databricks capabilities including:

Unity Catalog: centralized governance, access control, lineage

Dataflow / declarative pipelines: build scalable ingestion and transformation frameworks

Genie / AI-assisted development: accelerate developer productivity and data accessibility

Enable AI/BI dashboards, model serving, and advanced analytics use cases [Databricks...I - Jun 17 | PowerPoint], [NTT DATA -...Solutions | PowerPoint]Data Engineering & Use Case Delivery Build and optimize batch and streaming data pipelines using Spark and Delta Lake Develop data products and domain-oriented pipelines aligned to enterprise data strategies

Lead end-to-end use case delivery, from requirements to production deployment

Drive data quality, observability, and pipeline reliability

Client Engagement & Advisory Act as a trusted advisor to client stakeholders (architecture, data, risk, and business teams)
Translate business requirements into technical architecture and delivery roadmaps

Lead workshops, solution design sessions, and platform adoption strategies

Support proposals, solutioning, and client innovations within regulated industries

CoE Contribution Build and contribute to NTT DATA accelerators, frameworks, and reusable assets

Define best practices, reference architectures, and playbooks for enterprise Databricks adoption

Mentor junior engineers and support capability building across the CoERequired Qualifications
12+ years of experience in data engineering, platform engineering, or data architecture5+ years hands-on experience with Databricks in large enterprise environments

Deep expertise in:

Apache Spark (Scala/Python)
Delta Lake and Lakehouse architectures

Databricks workspace setup, cluster policies, and job orchestration

Strong experience with cloud platforms (AWS, Azure, or GCP)
Experience implementing data governance, security, and compliance…