Application Lead at Accenture

Bengaluru, Karnataka, India

Apply Now

Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Minimum 5 years of experience
15 years full-time education
Must have skills: Data Engineering
StreamSets SME with deep expertise in IBM StreamSets
Working knowledge of cloud infrastructure
Strong data engineering background with hands-on experience in metadata handling, pipeline management, and discovery dashboard interpretation
Proven experience in StreamSets (IBM preferred) pipeline development and administration
Familiarity with Discovery Dashboard and metadata structures
Exposure to cloud platforms such as AWS, including infrastructure setup and integration with data pipelines
Strong communication skills for client interaction and stakeholder engagement
Ability to work independently in a fast-paced, client-facing environment
Strong grasp of Generative and Agentic AI

Responsibilities

Lead the effort to design, build, and configure applications, acting as the primary point of contact
Lead and manage the configuration, monitoring, and optimization of StreamSets pipelines
Work closely with client teams and internal stakeholders to interpret metadata extracts and validate pipeline inputs from StreamSets and Pulse Discovery Dashboards
Evaluate metadata samples provided by the client and identify gaps or additional requirements for full extraction
Coordinate with SMEs and client contacts to validate technical inputs and assessments
Support the preparation, analysis, and optimization of full metadata extracts for ongoing project phases
Collaborate with cloud infrastructure teams to ensure seamless deployment and monitoring of StreamSets on cloud platforms
Provide SME-level inputs and guidance during design sessions, catch-ups, and technical reviews
Ensure timely support during critical assessments and project milestones
Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows
Collaborate and manage the team to perform
Responsible for team decisions
Engage with multiple teams and contribute on key decisions
Provide solutions to problems for immediate team and across multiple teams
Facilitate knowledge sharing and mentoring within the team to enhance overall performance
Monitor project progress and implement necessary adjustments to meet deadlines and quality standards
Collaborate with various teams to ensure project goals are met, facilitate discussions to address challenges, and guide team through development process
Engage in strategic planning to align application development with organizational objectives, ensuring stakeholders are informed and involved

Skills

Data Engineering

StreamSets

IBM StreamSets

Generative AI

Agentic AI

Pipeline Management

Metadata Handling

Cloud Infrastructure

Discovery Dashboard

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

Land your dream remote job 3x faster with AI

Try Jobo Free