Data Practice Architect/Data Solution Lead

Hitachi•Dallas, TX

7d•Hybrid

About The Position

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.

Requirements

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
Knowledge of Automotive, BFSI, Energy domain preferred
Recent certification in TOGAF, DAMA preferred
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
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.

Responsibilities

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.
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.
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.
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.