Data Practice Architect/Data Solution Lead - R
Hitachi Digital Services
Job Description
Role Overview
We are seeking a highly experienced and strategic Data Solution Lead to drive growth across the North America region through innovative enterprise data and AI solutions. This role requires a strong blend of technology leadership, solution architecture, business development, and stakeholder management expertise.
Key Responsibilities
Strategic Leadership & Growth
Contribute to the growth and expansion of the Data & AI practice across multiple client accounts in the USA region.
Partner with sales, account teams, and business units to identify opportunities and build differentiated Data/AI solutions.
Act as a trusted advisor to enterprise customers on modern data platform transformation initiatives.
Solution Architecture & Delivery
Design and architect end-to-end AI-powered enterprise data platforms on cloud hyperscalers such as AWS, Azure and GCP
Lead enterprise solutioning efforts for large-scale data modernization, analytics, and AI transformation programs.
Build thought leadership solutions leveraging technologies such as Snowflake, Databricks and Fabric
Define scalable architectures covering Data pipelines/ETLs, Data Governance, Security & Compliance, AIT integration across the data lifecycle.
Drive adoption of modern engineering practices including DataOps, MLOps, LLMOps and AIOps.
Presales & Innovation
Lead proactive and reactive RFP/RFI responses as a Data & AI leader.
Collaborate with internal teams to create industry-specific and cross-platform solutions, including SAP-integrated data platforms.
Stakeholder & Team Collaboration
Influence both internal and external stakeholders through strong domain expertise and market understanding in the Data/AI ecosystem.
Work closely with cross-functional teams, delivery leaders, and business units to drive solution alignment and execution.
Conduct client workshops, architecture reviews, and executive presentations as needed.
Required Skills & Experience
Tech Skills:
15+ years of experience architecting and delivering enterprise-scale Data, Analytics, and AI solutions with expertise in cloud-native data platforms and digital transformation initiatives.
Proven experience designing and implementing AI-powered enterprise data platforms across Microsoft Azure, AWS, and Google Cloud Platform (GCP), with strong consulting, pre-sales, and client engagement experience.
Demonstrated success leading enterprise architecture, solution strategy, technical workshops, RFP/RFI responses, and large-scale Data & AI transformation programs.
Deep expertise in Snowflake, including:
Snowflake Data Cloud Architecture
Snowpark
Data Sharing
Dynamic Tables
Streams & Tasks
Snowpipe
Cortex AI
Security & Governance
Performance Optimization
Strong hands-on experience with modern Data Integration & Engineering technologies including:
Azure Data Factory
Databricks
Informatica
dbt
Apache Spark
Apache Kafka
Apache Airflow
Extensive experience working with enterprise databases including SQL Server, Oracle, SAP BW/HANA, PostgreSQL, and Teradata.
Strong background in AI, Machine Learning, and Advanced Analytics, including:
Python
Machine Learning
Generative AI
Large Language Model (LLM) Integration
MLOps
Data Science frameworks and model deployment
Deep understanding of modern enterprise Data Governance practices including:
Data Governance
Data Quality
Master Data Management (MDM)
Metadata Management
Data Security & Regulatory Compliance
Strong knowledge of DataOps, MLOps, LLMOps, AIOps, modern ETL/ELT architectures, data lifecycle management, and AI integration across enterprise data ecosystems.
Experience developing reusable accelerators, reference architectures, frameworks, proof of concepts (PoCs), and industry-specific solutions leveraging Snowflake, Databricks, and Microsoft Fabric.
Domain expertise in Automotive, Banking & Financial Services (BFSI), or Energy industries is highly preferred.
Excellent leadership, stakeholder management, communication, and mentoring skills with the ability to influence executive leadership, business stakeholders, and technical teams.
Preferred Certifications:
Snowflake SnowPro Advanced Architect Certification
Snowflake SnowPro Core Certification
Microsoft Azure Solutions Architect Expert
Databricks Certified Data Engineer Professional
AWS Certified Solutions Architect
TOGAF Certification (preferred)
DAMA Certification (preferred)
Management skills:
Ability to influence external and internal stakeholders with state of the solutions in Data/AI space
Strong articulation and concise communication skills
Highly collaborative with internal leads and cross-BU teams to build joint solutions (eg: SAP based Data platforms)
Willing to travel on a need basis for client workshops
Qualifications
Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or related field.
12+ years of experience in Data Engineering, Analytics, AI, or Enterprise Architecture roles.
Proven track record in enterprise consulting, solution architecture, and presales leadership.
Role Overview
We are seeking a highly experienced and strategic Data Solution Lead to drive growth across the North America region through innovative enterprise data and AI solutions. This role requires a strong blend of technology leadership, solution architecture, business development, and stakeholder management expertise.
Key Responsibilities
Strategic Leadership & Growth
Contribute to the growth and expansion of the Data & AI practice across multiple client accounts in the USA region.
Partner with sales, account teams, and business units to identify opportunities and build differentiated Data/AI solutions.
Act as a trusted advisor to enterprise customers on modern data platform transformation initiatives.
Solution Architecture & Delivery
Design and architect end-to-end AI-powered enterprise data platforms on cloud hyperscalers such as AWS, Azure and GCP
Lead enterprise solutioning efforts for large-scale data modernization, analytics, and AI transformation programs.
Build thought leadership solutions leveraging technologies such as Snowflake, Databricks and Fabric
Define scalable architectures covering Data pipelines/ETLs, Data Governance, Security & Compliance, AIT integration across the data lifecycle.
Drive adoption of modern engineering practices including DataOps, MLOps, LLMOps and AIOps.
Presales & Innovation
Lead proactive and reactive RFP/RFI responses as a Data & AI leader.
Collaborate with internal teams to create industry-specific and cross-platform solutions, including SAP-integrated data platforms.
Stakeholder & Team Collaboration
Influence both internal and external stakeholders through strong domain expertise and market understanding in the Data/AI ecosystem.
Work closely with cross-functional teams, delivery leaders, and business units to drive solution alignment and execution.
Conduct client workshops, architecture reviews, and executive presentations as needed.
Required Skills & Experience
Tech Skills:
15+ years of experience architecting and delivering enterprise-scale Data, Analytics, and AI solutions with expertise in cloud-native data platforms and digital transformation initiatives.
Proven experience designing and implementing AI-powered enterprise data platforms across Microsoft Azure, AWS, and Google Cloud Platform (GCP), with strong consulting, pre-sales, and client engagement experience.
Demonstrated success leading enterprise architecture, solution strategy, technical workshops, RFP/RFI responses, and large-scale Data & AI transformation programs.
Deep expertise in Snowflake, including:
Snowflake Data Cloud Architecture
Snowpark
Data Sharing
Dynamic Tables
Streams & Tasks
Snowpipe
Cortex AI
Security & Governance
Performance Optimization
Strong hands-on experience with modern Data Integration & Engineering technologies including:
Azure Data Factory
Databricks
Informatica
dbt
Apache Spark
Apache Kafka
Apache Airflow
Extensive experience working with enterprise databases including SQL Server, Oracle, SAP BW/HANA, PostgreSQL, and Teradata.
Strong background in AI, Machine Learning, and Advanced Analytics, including:
Python
Machine Learning
Generative AI
Large Language Model (LLM) Integration
MLOps
Data Science frameworks and model deployment
Deep understanding of modern enterprise Data Governance practices including:
Data Governance
Data Quality
Master Data Management (MDM)
Metadata Management
Data Security & Regulatory Compliance
Strong knowledge of DataOps, MLOps, LLMOps, AIOps, modern ETL/ELT architectures, data lifecycle management, and AI integration across enterprise data ecosystems.
Experience developing reusable accelerators, reference architectures, frameworks, proof of concepts (PoCs), and industry-specific solutions leveraging Snowflake, Databricks, and Microsoft Fabric.
Domain expertise in Automotive, Banking & Financial Services (BFSI), or Energy industries is highly preferred.
Excellent leadership, stakeholder management, communication, and mentoring skills with the ability to influence executive leadership, business stakeholders, and technical teams.
Preferred Certifications:
Snowflake SnowPro Advanced Architect Certification
Snowflake SnowPro Core Certification
Microsoft Azure Solutions Architect Expert
Databricks Certified Data Engineer Professional
AWS Certified Solutions Architect
TOGAF Certification (preferred)
DAMA Certification (preferred)
Management skills:
Ability to influence external and internal stakeholders with state of the solutions in Data/AI space
Strong articulation and concise communication skills
Highly collaborative with internal leads and cross-BU teams to build joint solutions (eg: SAP based Data platforms)
Willing to travel on a need basis for client workshops
Qualifications
Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or related field.
12+ years of experience in Data Engineering, Analytics, AI, or Enterprise Architecture roles.
Proven track record in enterprise consulting, solution architecture, and presales leadership.
Reference: 3157014383