Jobs at Accenture

Lead planning and execution of data migration projects, coordinating cross-functional teams to ensure accurate, complete, and reliable data transfers. Define migration approaches, controls, validation processes, and risk mitigation strategies. Monitor quality and progress, resolve issues, make team decisions, support stakeholders, and mentor junior team members while ensuring alignment with project standards and timelines.

Execute end-to-end data migrations by extracting, transforming, loading, and validating data in target systems. Develop and maintain migration scripts, monitor workflows, troubleshoot integration issues, and ensure data quality, accuracy, and consistency. Collaborate with cross-functional teams, document migration procedures, optimize processes, and support junior team members while independently contributing as a subject matter expert.

Design, develop, and maintain Snowflake-based data warehousing solutions, databases, pipelines, and ETL processes. Collaborate with data and business intelligence analysts to address data requirements, implement security and access controls, and deliver scalable applications. The role requires hands-on experience with Snowflake Streams, Tasks, Snowpipe, stored procedures, complex SQL, and Python, with AWS services as an advantage.

Lead the architecture and delivery of agentic AI solutions for enterprise data migration. Responsibilities include designing AI agents, LLM and RAG workflows, tool calling, evaluation, guardrails, observability, reverse engineering, data discovery, ETL, and code analysis. The role leads technical teams, defines standards, mentors engineers, manages stakeholders, and ensures scalable, reliable, production-ready solutions aligned with enterprise requirements.

Lead functional testing for payments and cash settlement systems across the capital-markets trade lifecycle. Own test strategy, planning, scenarios, execution, regression, UAT support, defect management, and quality reporting. Validate domestic and cross-border payments, settlement events, accounting entries, reconciliations, fees, FX, and regulatory requirements across upstream and downstream systems. Mentor testers and collaborate with business, product, development, and operations stakeholders during delivery and go-live.

Design, develop, and maintain scalable data solutions, pipelines, and ETL processes using Snowflake. Ensure data quality, data governance, and effective integration across systems. Collaborate with multiple teams, provide technical solutions, make team decisions, mentor junior engineers, and improve data processes. The role requires expertise in data modeling, database design, cloud-based data processing, and Snowflake data warehousing.

Leads the transformation of testing into a continuous quality engineering function. Designs end-to-end automation strategies for complex data pipelines, improves testing accuracy and efficiency, analyzes ETL data quality issues, adopts innovative tools, mentors team members, and coordinates cross-functional testing efforts.

Lead end-to-end data migration planning and execution, coordinating cross-functional teams to ensure accurate, complete, and reliable data transitions. Define migration strategies, controls, validation processes, and risk mitigations while monitoring quality, progress, and timelines. Serve as a subject matter expert, make team-level decisions, solve complex migration issues, and mentor junior team members. The role requires proficiency in Data Build Tool, data migration methodologies, data quality practices, and complex workflow coordination.

Leads end-to-end data migration planning and execution, coordinating cross-functional teams to ensure accurate, complete, and validated data transfer. Defines migration strategies, controls, timelines, and risk mitigation plans; monitors quality and progress; solves issues across teams; and mentors junior staff. The role requires Data Build Tool expertise, strong migration methodology knowledge, data validation skills, and at least 7.5 years of experience.

Designs and implements enterprise data platform architecture using Databricks. Collaborates with integration and data architecture teams to align systems, data models, and strategies. Leads platform blueprint development, makes cross-team technical decisions, mentors team members, and delivers scalable, secure solutions for complex analytics workloads. Responsibilities include data governance, data quality, metadata management, and coordination across multiple teams.

Designs and implements scalable data platform architectures using Databricks and cloud technologies. Collaborates with integration and data architects to align systems and data models, establishes platform standards, optimizes performance and costs, supports governance and security, resolves complex issues, and mentors teams. Coordinates with stakeholders to translate requirements into enterprise-grade data platform solutions.

Leads enterprise-scale Databricks lakehouse architecture and implementation, designing governed data platforms, scalable ETL/ELT pipelines, data models, integrations, security policies, and real-time analytics. Collaborates across data science, analytics, and platform teams while providing client leadership, execution ownership, performance optimization, and technical guidance on Unity Catalog, Delta technologies, data sharing, BI integrations, and advanced AI capabilities.

Leads enterprise data platform architecture and delivery, designing secure Databricks lakehouse solutions, scalable ETL/ELT pipelines, governance, data sharing, and analytics integrations. Provides hands-on guidance across Unity Catalog, Delta Lake, DLT, cloud platforms, data privacy, performance optimization, and real-time reporting. Partners with data science, analytics, and platform teams while providing client leadership, thought leadership, execution ownership, and people development.

Architects and implements enterprise-scale Databricks lakehouse platforms, including ingestion, transformation, governance, security, data sharing, and BI integrations. Leads Unity Catalog, Delta Lake, DLT, cloud architecture, performance optimization, and compliant PII management. Provides technical and client leadership across data, analytics, platform, and data science teams while guiding adoption of advanced Databricks capabilities and developing people.

Supports and configures Veeva CRM/Vault CRM, handles change requests, analyzes requirements, designs solutions, resolves defects, and performs user setup, alignment, and security activities. Develops custom triggers, workflows, and classes, supports AMS operations through ServiceNow, and assists with integrations using ETL tools, Python, C#, and Azure. Leads technical tasks, coordinates stakeholders, manages status meetings, and provides automation and innovation recommendations.

Supports and configures Veeva CRM and Vault CRM, including data models, users, alignment, security, workflows, triggers, integrations, and change requests. Analyzes requirements, designs solutions, estimates effort, fixes bugs, and performs application support using ServiceNow. Leads technical tasks, stakeholder communications, status meetings, documentation, and team guidance while proposing automation and innovation improvements.

Configure and support Veeva CRM/Vault CRM, analyze requirements, design solutions, implement change requests, resolve bugs, and manage users, security, alignment, and integrations. The role includes custom development with triggers, workflows, and classes; ServiceNow AMS support; client and stakeholder communication; team leadership; documentation; and automation initiatives using ETL tools, Python, C#, and Azure.

Configure and support Veeva CRM/Vault CRM, analyze and implement change requests, resolve technical issues, manage users, alignment, and security, and develop custom triggers, workflows, and classes. Support AMS activities through ServiceNow, integrations using ETL tools and scripting, and client status communications. Lead technical teams, manage stakeholders, document solutions, estimate efforts, and propose automation and innovation opportunities.

Leads quality engineering and functional testing for Copilot Studio agents. Designs test plans, validates conversational behavior, generative answers, knowledge grounding, Power Automate flows, MCP integrations, responsible AI safeguards, publishing across channels, and environment releases. Manages regression testing, defect tracking, test evidence, UAT coordination, and release readiness while collaborating with developers, architects, and business analysts.

Leads quality engineering and functional testing for Power Platform solutions. Designs and executes test plans for Power Apps, Power Automate, and Dataverse; validates integrations with custom connectors and Azure Functions; performs regression and compatibility testing; manages defects through resolution; maintains test evidence; collaborates on requirements and edge cases; and supports UAT coordination and release readiness.