FunctionIoT<h1>Our Company</h1>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.<h1>Job description</h1>Role Summary  We are looking for a highly skilled Databricks Solution 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 1. Solution Architecture &amp; Design  Design end-to-end data architectures using Databricks Lakehouse Platform.  Architect scalable ETL/ELT pipelines, real-time streaming solutions, and advanced analytics platforms.  Define data models, storage strategies, and integration patterns aligned with business and enterprise architecture standards.  Provide guidance on cluster configuration, performance optimization, cost management, and workspace governance. 2. Technical Leadership  Lead technical discussions and design workshops with engineering teams and business stakeholders.  Provide best practices, frameworks, and reusable component designs for consistent delivery.  Perform code reviews and provide technical mentoring to data engineers and developers. 3. Stakeholder &amp; Project Engagement  Collaborate with product owners, business leaders, and analytics teams to translate business requirements into scalable technical solutions.  Create and present solution proposals, architectural diagrams, and implementation strategies.  Support pre-sales or discovery phases with technical input when needed. 4. Data Governance, Security &amp; Compliance  Define and implement governance standards across Databricks workspaces (data lineage, cataloging, access control, etc.).  Ensure compliance with regulatory and organizational security frameworks.  Implement best practices for monitoring, auditing, and data quality management. 5. Continuous Improvement &amp; Innovation  Stay updated on Databricks features, roadmap, and industry trends.  Recommend improvements, optimizations, and modernization opportunities across the data ecosystem.  Evaluate integration of complementary technologies (Delta Live Tables, MLflow, Unity Catalog, streaming frameworks, etc.). Required Skills &amp; Experience  Technical Skills  Databricks Expertise: Strong hands-on experience with Databricks (clusters, notebooks, Delta Lake, MLflow, Unity Catalog).  Cloud Platforms: Experience with at least one cloud provider (AWS, Azure, GCP).  Data Engineering: Strong proficiency in Spark, Python, SQL, and distributed data processing.  Architecture: Experience designing large-scale data solutions including ingestion, transformation, storage, and analytics.  Streaming: Experience with streaming technologies (Structured Streaming, Kafka, Kinesis, EventHub).  DevOps: CI/CD practices for data pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.). Soft Skills  Strong communication skills with the ability to engage both technical and business teams.  Experience working in Agile environments.  Ability to simplify complex technical concepts for non-technical audiences.  Strong analytical, problem-solving, and decision-making abilities. Preferred Qualifications  Databricks Certified Data Engineer Professional / Architect certification.  AWS/Azure/GCP cloud architect certifications.  Experience with BI tools (Tableau, Power BI, Looker).  Experience in machine learning workflows and ML operations.  Background in large-scale data modernization or cloud migration projects. Why Join Us?  Opportunity to lead high-impact data initiatives using cutting-edge Databricks capabilities.  Work with a highly skilled team of engineers, architects, and analytics professionals.  Professional growth opportunities including certifications and advanced architecture training.  Collaborative environment that values innovation and continuous improvement. #LI-MS2<h1>About us</h1>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.<h1>Fostering innovation through diverse perspectives</h1>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.<h1>How we look after you</h1>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.

Hitachi Energy is a global technology leader that is advancing a sustainable energy future for all. We serve customers in the utility, industry and infrastructure sectors with innovative solutions and services across the value chain. Together with customers and partners, we pioneer technologies and enable the digital transformation required to accelerate the energy transition towards a carbon-neutral future. We are advancing the world&rsquo;s energy system to become more sustainable, flexible and secure whilst balancing social, environmental and economic value. Hitachi Energy has a proven track record and unparalleled installed base in more than 140 countries.

Sr Databricks Engineer

FunctionIoT<h1>Our Company</h1>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.<h1>Job description</h1>Role Summary  We are looking for a highly skilled Databricks Solution 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 1. Solution Architecture &amp; Design  Design end-to-end data architectures using Databricks Lakehouse Platform.  Architect scalable ETL/ELT pipelines, real-time streaming solutions, and advanced analytics platforms.  Define data models, storage strategies, and integration patterns aligned with business and enterprise architecture standards.  Provide guidance on cluster configuration, performance optimization, cost management, and workspace governance. 2. Technical Leadership  Lead technical discussions and design workshops with engineering teams and business stakeholders.  Provide best practices, frameworks, and reusable component designs for consistent delivery.  Perform code reviews and provide technical mentoring to data engineers and developers. 3. Stakeholder &amp; Project Engagement  Collaborate with product owners, business leaders, and analytics teams to translate business requirements into scalable technical solutions.  Create and present solution proposals, architectural diagrams, and implementation strategies.  Support pre-sales or discovery phases with technical input when needed. 4. Data Governance, Security &amp; Compliance  Define and implement governance standards across Databricks workspaces (data lineage, cataloging, access control, etc.).  Ensure compliance with regulatory and organizational security frameworks.  Implement best practices for monitoring, auditing, and data quality management. 5. Continuous Improvement &amp; Innovation  Stay updated on Databricks features, roadmap, and industry trends.  Recommend improvements, optimizations, and modernization opportunities across the data ecosystem.  Evaluate integration of complementary technologies (Delta Live Tables, MLflow, Unity Catalog, streaming frameworks, etc.). Required Skills &amp; Experience  Technical Skills  Databricks Expertise: Strong hands-on experience with Databricks (clusters, notebooks, Delta Lake, MLflow, Unity Catalog).  Cloud Platforms: Experience with at least one cloud provider (AWS, Azure, GCP).  Data Engineering: Strong proficiency in Spark, Python, SQL, and distributed data processing.  Architecture: Experience designing large-scale data solutions including ingestion, transformation, storage, and analytics.  Streaming: Experience with streaming technologies (Structured Streaming, Kafka, Kinesis, EventHub).  DevOps: CI/CD practices for data pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.). Soft Skills  Strong communication skills with the ability to engage both technical and business teams.  Experience working in Agile environments.  Ability to simplify complex technical concepts for non-technical audiences.  Strong analytical, problem-solving, and decision-making abilities. Preferred Qualifications  Databricks Certified Data Engineer Professional / Architect certification.  AWS/Azure/GCP cloud architect certifications.  Experience with BI tools (Tableau, Power BI, Looker).  Experience in machine learning workflows and ML operations.  Background in large-scale data modernization or cloud migration projects. Why Join Us?  Opportunity to lead high-impact data initiatives using cutting-edge Databricks capabilities.  Work with a highly skilled team of engineers, architects, and analytics professionals.  Professional growth opportunities including certifications and advanced architecture training.  Collaborative environment that values innovation and continuous improvement. #LI-MS2<h1>About us</h1>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.<h1>Fostering innovation through diverse perspectives</h1>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.<h1>How we look after you</h1>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.

Sr Databricks Engineer

About the Job

About the Company

HITACHI ENERGY

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