Databricks Platform Architect

Posted 17 Days Ago
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Dallas, TX, USA
In-Office
Senior level
Fintech • Information Technology • Logistics
The Role
Design and lead enterprise-grade Databricks Lakehouse architectures, including scalable batch and streaming data pipelines, data models, governance, security, monitoring, and optimization. Lead design workshops, mentor engineers, review code, translate business needs into technical solutions, and support discovery or pre-sales efforts. Drive modernization, cloud migration, data quality, and integration of technologies such as Delta Live Tables, MLflow, Unity Catalog, and streaming frameworks.
Summary Generated by Built In

Function

IoTOur Company

We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration.

Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.

Job description

Role Summary 

We are looking for a highly skilled Databricks Platform Architect to lead the design and implementation of scalable, enterprise-grade data platforms using Databricks. The ideal candidate will combine strong technical expertise in data engineering and cloud platforms (AWS/Azure/GCP) with architectural leadership, solution design capability, and strong stakeholder engagement skills. 

Key Responsibilities 

Databricks on AWS Platform  Architect – Platform Architecture

  • Architect and manage a secure, scalable, and highly available Databricks Lakehouse Platform on AWS.
  • Design data platforms leveraging AWS S3, Delta Lake, Unity Catalog, and Databricks Workspaces for enterprise analytics and AI.
  • Define networking architecture including VPC, PrivateLink, IAM roles, security groups, and encryption standards.
  • Establish multi-environment strategies (Dev, Test, UAT, Prod) with automated provisioning through Terraform and Infrastructure as Code (IaC).
  • Implement enterprise-wide data governance, lineage, metadata management, and compliance controls using Unity Catalog.
  • Design high-performance data ingestion and processing architectures supporting batch, streaming, and real-time analytics workloads.
  • Enable AI and GenAI capabilities through Mosaic AI, Vector Search, Model Serving, AI/BI Dashboards, and Genie Spaces.
  • Define CI/CD, monitoring, logging, and observability frameworks using GitHub, Jenkins, CloudWatch, and Databricks Workflows.
  • Optimize platform performance, reliability, scalability, and cloud costs through FinOps and workload optimization practices.
  • Provide architectural leadership and best practices for Lakehouse modernization, advanced analytics, AI governance, and enterprise data platform adoption.

Core Technologies: Databricks, AWS S3, Delta Lake, Unity Catalog, Spark/PySpark, Terraform, GitHub, CI/CD, CloudWatch, Mosaic AI, Genie, Vector Search, MLflow, Kafka, Airflow, Kubernetes.

#LI-MS2

About us

We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.

Fostering innovation through diverse perspectives

Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.

We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.

How we look after you

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.

Skills Required

  • Strong hands-on experience with Databricks, including clusters, notebooks, Delta Lake, MLflow, and Unity Catalog
  • Experience with at least one cloud provider: AWS, Azure, or GCP
  • Strong proficiency in Apache Spark, Python, SQL, and distributed data processing
  • Experience designing large-scale data solutions covering ingestion, transformation, storage, and analytics
  • Experience with streaming technologies such as Structured Streaming, Kafka, Kinesis, or EventHub
  • Experience applying CI/CD practices to data pipelines using tools such as Azure DevOps, GitHub Actions, or Jenkins
  • Strong communication skills for engaging technical and business stakeholders
  • Experience working in Agile environments
  • Ability to explain complex technical concepts to non-technical audiences
  • Strong analytical, problem-solving, and decision-making abilities
  • Databricks Certified Data Engineer Professional or Architect certification
  • AWS, Azure, or GCP cloud architect certification
  • Experience with Tableau, Power BI, or Looker
  • Experience with machine learning workflows and machine learning operations
  • Background in large-scale data modernization or cloud migration projects
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The Company
HQ: Tokyo
33,676 Employees

What We Do

Since its founding in 1910, Hitachi has responded to the expectations of society and its customers through technology and innovation. Our mission is to “Contribute to society through the development of superior, original technology and products.” Over the past 100+ years this commitment has led us to work towards creating a more sustainable society through our “Social Innovation Business”. We work to apply our expertise in information technology (IT), operational technology (OT), and a wide variety of products to advance social infrastructure systems and improve quality of life across the world.

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