> Markdown version of [/jobs/ext/1233740-data-practice-architect-data-solution-lead](https://www.wearedevelopers.com/jobs/ext/1233740-data-practice-architect-data-solution-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Practice Architect/Data Solution Lead - **Company:** Hitachi, Ltd. - **Location:** Dallas, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Information Systems, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), DevOps, DataOps, SAP (Applications), Enterprise Data Management, Google Cloud, Snowflake, Togaf, Information Technology, Data Management, Machine Learning Operations, Data Pipelines, Databricks - **Published:** July 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b0aa6b817180b80d ## About the Role Energy domain preferred - Recent certification in TOGAF, DAMA 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** - Bachelor's or Master's 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. #LI-MS2 # **About us** We're a global, team of innovators. Together, we harness engineering ## Description 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:** - Practice Architect to contribute to the growth in USA region across multiple accounts - Experience in selling and building large enterprise data platform - Experience solutioning end-end to AI powered Data Platform in any of the hyper-scalars (GCP, Azure or AWS) - Responsible to lead proactive and reactive Data/AI RFPs/RFIs as a data leader - Thought leadership building solutions on Snowflake, Databricks and Fabric - Excellent understanding of new age Data pipeline (ETLs), Data Governance and Security, Infusion of AI across Data Life Cycle - Good understanding of DataOps, MLOps, LLMOps and AI Ops - Experience building fit for purpose - PoCs, Data Accelerators and Frameworks - ## Related Videos - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)