Hitachi Digital Services
Hitachi Digital Services
is a global digital solutions and transformation business focused on powering good and innovation. We future‑proof urban spaces, conserve natural resources, protect rainforests, and save lives. Our people‑centric culture drives customer progress from today to tomorrow.
Team We are part of a high‑impact Data & Analytics organization working with data engineers, architects, scientists, and business SMEs across Supply Chain and Manufacturing. The team prioritizes innovation, scalability, and operational excellence.
As Part Of This Team
You will partner closely with supply chain, operations, and manufacturing leadership to shape data strategy.
You will lead and mentor technical contributors while driving architectural standards across programs.
You will collaborate with cloud, security, product, and governance teams to deliver robust, compliant, and future‑ready data platforms.
You will work in a culture that values continuous improvement, collaboration, and thought leadership, providing opportunities for certification support, skill development, and career growth.
The Role We are looking for an experienced
Data Lead
with deep expertise in
AWS, Databricks, and modern cloud data architectures
to design and deliver end‑to‑end solutions for Supply Chain & Manufacturing. This hands‑on leadership role defines scalable data strategies, leads implementation efforts, and aligns business needs with technical execution.
You will own the architecture, design, and optimization of data pipelines, ETL/ELT frameworks, data models, and integration patterns. You will work closely with senior leadership, data engineers, data scientists, and business teams to build secure, compliant, and high‑performing data solutions that drive reporting, analytics, operational efficiency, and decision‑making across the enterprise.
Key Focus Areas
Designing and delivering end‑to‑end cloud‑native data solutions on AWS, Databricks, and Snowflake.
Leading data engineering best practices, architectural governance, and technical implementation.
Translating supply chain & manufacturing data needs into actionable technical designs.
Driving data governance, security, and compliance standards across the ecosystem.
Mentoring technical teams and ensuring successful cross‑functional project execution.
What You’ll Bring
Strong hands‑on experience with AWS data services (S3, Redshift, Glue, Lambda, Kinesis, EMR).
Proven experience with Databricks, Spark‑based processing, and Delta Lake.
Expertise in designing and building large‑scale data pipelines, real‑time and batch ETL/ELT, and data integration patterns.
Solid understanding of data lakes, data warehouses, and modern cloud data architectures.
Proficiency in Python, SQL, and/or Scala.
Strong understanding of data modeling (relational + NoSQL).
Familiarity with CI/CD pipelines for data products and infrastructure.
Experience in data governance frameworks, security controls, and regulatory compliance (GDPR, HIPAA, etc.).
Proven ability to lead data engineering and cross‑functional delivery teams.
Strong stakeholder management: translating business requirements into scalable data solutions.
Excellent communication skills, with the ability to present technical solutions to non‑technical leaders.
Experience managing concurrent data initiatives with Agile project delivery practices.
Ability to identify risks, optimize costs, drive innovation, and improve overall data quality.
Strategic mindset with hands‑on execution capability.
AWS or Databricks certifications (Solutions Architect, Data Engineer, Big Data).
Experience with BI/analytics tools (Tableau, Power BI, Looker).
Industry experience in Supply Chain, Manufacturing, Logistics, or Industrial Operations.
About Us We’re a global team of innovators harnessing engineering excellence to co‑create solutions to complex challenges. Hire to become part of an organization that turns businesses into data‑driven leaders making a positive impact.
#J-18808-Ljbffr
is a global digital solutions and transformation business focused on powering good and innovation. We future‑proof urban spaces, conserve natural resources, protect rainforests, and save lives. Our people‑centric culture drives customer progress from today to tomorrow.
Team We are part of a high‑impact Data & Analytics organization working with data engineers, architects, scientists, and business SMEs across Supply Chain and Manufacturing. The team prioritizes innovation, scalability, and operational excellence.
As Part Of This Team
You will partner closely with supply chain, operations, and manufacturing leadership to shape data strategy.
You will lead and mentor technical contributors while driving architectural standards across programs.
You will collaborate with cloud, security, product, and governance teams to deliver robust, compliant, and future‑ready data platforms.
You will work in a culture that values continuous improvement, collaboration, and thought leadership, providing opportunities for certification support, skill development, and career growth.
The Role We are looking for an experienced
Data Lead
with deep expertise in
AWS, Databricks, and modern cloud data architectures
to design and deliver end‑to‑end solutions for Supply Chain & Manufacturing. This hands‑on leadership role defines scalable data strategies, leads implementation efforts, and aligns business needs with technical execution.
You will own the architecture, design, and optimization of data pipelines, ETL/ELT frameworks, data models, and integration patterns. You will work closely with senior leadership, data engineers, data scientists, and business teams to build secure, compliant, and high‑performing data solutions that drive reporting, analytics, operational efficiency, and decision‑making across the enterprise.
Key Focus Areas
Designing and delivering end‑to‑end cloud‑native data solutions on AWS, Databricks, and Snowflake.
Leading data engineering best practices, architectural governance, and technical implementation.
Translating supply chain & manufacturing data needs into actionable technical designs.
Driving data governance, security, and compliance standards across the ecosystem.
Mentoring technical teams and ensuring successful cross‑functional project execution.
What You’ll Bring
Strong hands‑on experience with AWS data services (S3, Redshift, Glue, Lambda, Kinesis, EMR).
Proven experience with Databricks, Spark‑based processing, and Delta Lake.
Expertise in designing and building large‑scale data pipelines, real‑time and batch ETL/ELT, and data integration patterns.
Solid understanding of data lakes, data warehouses, and modern cloud data architectures.
Proficiency in Python, SQL, and/or Scala.
Strong understanding of data modeling (relational + NoSQL).
Familiarity with CI/CD pipelines for data products and infrastructure.
Experience in data governance frameworks, security controls, and regulatory compliance (GDPR, HIPAA, etc.).
Proven ability to lead data engineering and cross‑functional delivery teams.
Strong stakeholder management: translating business requirements into scalable data solutions.
Excellent communication skills, with the ability to present technical solutions to non‑technical leaders.
Experience managing concurrent data initiatives with Agile project delivery practices.
Ability to identify risks, optimize costs, drive innovation, and improve overall data quality.
Strategic mindset with hands‑on execution capability.
AWS or Databricks certifications (Solutions Architect, Data Engineer, Big Data).
Experience with BI/analytics tools (Tableau, Power BI, Looker).
Industry experience in Supply Chain, Manufacturing, Logistics, or Industrial Operations.
About Us We’re a global team of innovators harnessing engineering excellence to co‑create solutions to complex challenges. Hire to become part of an organization that turns businesses into data‑driven leaders making a positive impact.
#J-18808-Ljbffr