Data Practice Architect/Data Solution Lead - R0131102

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

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.