Jobs at Accenture

Design, develop, and maintain data solutions and ETL pipelines using PySpark. Ensure data quality, integrate and migrate data across systems, collaborate with cross-functional teams, make technical decisions, mentor juniors, and act as an SME for multiple teams.

Design, develop, and maintain data solutions and ETL pipelines using PySpark. Ensure data quality, optimize large-scale processing jobs, document workflows, collaborate with cross-functional teams, and mentor junior members to deliver scalable, reliable data infrastructure.

Design, build, test, and deploy cloud application solutions integrating cloud and non-cloud infrastructure. Deploy infrastructure/platform environments, create proofs of architecture to validate security and performance, mentor juniors, influence cross-team decisions, and evaluate new cloud technologies to enhance platform capabilities.

Develop custom software solutions, enhance components across systems, and collaborate with teams using modern frameworks and agile practices.

Design, develop, and maintain data solutions, pipelines, and ETL workflows. Ensure data quality, support data migration and deployment, optimize distributed data-processing jobs, and troubleshoot workflow performance. Collaborate with cross-functional stakeholders, document processes, contribute to team solutions, and guide junior team members while becoming a subject matter expert.

Designs, builds, tests, and deploys cloud application solutions integrating cloud and non-cloud infrastructure. Deploys infrastructure/platform environments, creates proofs of architecture to validate security and performance, advises multiple teams, leads technical decisions, evaluates new cloud technologies, and mentors junior engineers.

Work with business stakeholders, data owners, application designers and data architects to analyze existing structures and design data models. Lead and manage teams, facilitate workshops, ensure models align with data architecture and governance, and improve modeling processes to support integration and accessibility.

Develop and enhance custom software applications and scalable data-processing solutions using PySpark. Collaborate with stakeholders and cross-functional teams to gather requirements, document technical designs, solve application problems, and improve performance and reliability. The role requires independent execution, subject matter expertise, knowledge sharing with junior team members, and experience optimizing distributed computing workloads and data pipelines.

Develop and enhance custom software applications using PySpark and Apache Spark. Optimize distributed data-processing solutions for performance and scalability, perform data transformation and integration, and deploy applications in production environments. Serve as a subject matter expert, make team decisions, collaborate across teams, improve processes, mentor junior staff, and coordinate cross-functional delivery. The role is based in Bengaluru and requires 15 years of full-time education.

Define and govern target-state enterprise architecture across Azure, GCP, and OCI. Establish architecture standards, governance frameworks, cloud placement and interoperability strategies, and enterprise patterns for microservices, containers, APIs, service mesh, and event-driven systems. Lead architecture review boards, modernization and transformation initiatives, technology evaluations, and executive stakeholder alignment while promoting security, resilience, observability, FinOps, DevSecOps, and Infrastructure-as-Code adoption.

Design, build, and configure PySpark-based applications and data pipelines; optimize and troubleshoot large-scale distributed data workflows; lead and mentor team members; coordinate cross-functional stakeholders and implement process improvements to meet business requirements.

Designs and develops enterprise data platform solutions using PySpark, collaborating with integration and data architects to align systems and data models. Leads AI-driven solution delivery using Generative and Agentic AI, prompt engineering, and evaluation frameworks to automate processes, integrate intelligent insights, and deliver scalable, responsible business solutions.

Designs and develops enterprise data platform solutions using PySpark while collaborating with integration and data architects. Leads AI-driven solution delivery using Generative and Agentic AI, prompt engineering, and evaluation frameworks to automate processes, integrate intelligent insights, and support scalable, responsible business transformation.

Leads large-scale engineering and digital transformation programs for clients, overseeing delivery outcomes, budgets, risks, contracts, and multidisciplinary teams. Designs future-state engineering operating models, modernizes R&D and product engineering, and implements PLM, digital thread, analytics, cloud, and AI-enabled systems. Builds senior client relationships, supports sales and proposals, coaches teams, and identifies follow-on opportunities across engineering, manufacturing, and product development engagements.

Design and demonstrate generative AI solutions for SMB customers, translating business and technical needs into secure architectures using LLMs, APIs, retrieval, agents, and enterprise integrations. Lead technical discovery, advise on security and compliance, support sales proposals, address technical blockers, and assist with early onboarding. Collaborate with Product, Engineering, Sales, and Customer Success while documenting repeatable solution patterns.

Lead client-facing IT sourcing and cost optimization projects, developing sourcing strategies, conducting benchmarking and data analysis, managing project delivery, and advising stakeholders. Support negotiations, spend analysis, business development, sales materials, and practice knowledge development. The role requires strategic sourcing experience with IT procurement exposure, strong analytical and communication skills, and proficiency in Excel and PowerPoint. Familiarity with IT categories, visualization, and analytics tools is preferred.

Conduct Design to Value and value engineering analyses, including product teardowns, cost breakdowns, should-cost modeling, benchmarking, and product architecture reviews. Support client workshops and cross-functional engineering, procurement, and operations teams in identifying product and cost optimization opportunities. Develop data-backed recommendations, presentations, business cases, and project deliverables while tracking workstreams. The role requires onsite work in a Peachtree Corners, Atlanta lab for hands-on teardown activities and mentoring junior team members.

Lead consulting project execution for digital CMC and PLM transformations across pharmaceutical, biotech, MedTech, distributor, and consumer health clients. Support sales, delivery, client relationship management, and thought leadership while applying expertise in PLM, CMC, tech transfer, data products, knowledge graphs, data lineage, and AI-enabled transformation. Manage global consulting teams, coach employees, influence stakeholders, and advance digital thread and data backbone capabilities across life sciences product development and commercialization.

Build and deploy Palantir-based applications, data pipelines, and operational solutions for clients. Translate business objectives into technical roadmaps, prototype rapidly, integrate large datasets, deliver production-grade software, and communicate requirements and progress to technical and executive stakeholders. The role involves close client collaboration, independent ownership, and potentially extensive travel based on client needs.

Leads competitive SAP sales pursuits from opportunity shaping through contract execution. Owns deal strategy, client discovery, executive alignment, solution differentiation, commercial negotiation, and value selling. Coordinates sales, delivery, technology, finance, legal, industry, and alliance teams while managing SAP ecosystem relationships and partner-sourced opportunities. Requires enterprise technology sales experience, complex SAP deal expertise, quota ownership, senior stakeholder engagement, deal structuring, and Resources industry knowledge. Travel may range from 25% to 100%.