1 day ago
Pune, IndiaStaff+
Responsibilities
- Own the roadmap, architecture, implementation, production transition, and ongoing improvement of complex data platforms.
- Define conceptual, logical, and physical data models, reusable enterprise data standards, and canonical models.
- Develop strategies for data governance, quality, lineage, cleansing, master and reference data, retention, regulatory obligations, and interface contracts.
- Design scalable data solutions using microservices, APIs, messaging, user interfaces, and fit-for-purpose database technologies.
- Select persistence models across relational, document, and analytical platforms based on workload, performance, consistency, recovery, security, and governance needs.
- Lead architecture reviews, feasibility studies, impact assessments, proofs of concept, technology evaluations, and build-versus-buy decisions.
- Establish standards for coding, peer review, unit testing, performance measurement, and engineering quality controls.
- Oversee integrations with internal platforms, external marketplaces, third-party services, and vendor products through governed APIs and events.
- Translate business requirements into target and transition architectures and communicate technical trade-offs to senior stakeholders.
- Mentor engineers, build technical capability, and remain hands-on with architecture prototypes, code, SQL, data modeling, and performance analysis.
Requirements
- At least 7.5 years of professional experience is required.
- At least 8 years of experience with Microsoft Azure Databricks is required.
- Proficiency in Microsoft Azure Databricks and Microsoft Azure Data Services is required.
- Extensive enterprise technology experience as a data architect, solution architect, technology lead, or delivery head is required.
- Experience owning design across a portfolio of applications and leading multidisciplinary engineering teams is required.
- Strong senior-stakeholder communication skills, including presenting architecture strategy, delivery choices, risks, and investment options, are required.
- Experience with data governance, ownership, quality controls, lineage, regulatory traceability, cleansing, reconciliation, retention, archival, lifecycle design, masking, obfuscation, and production-data protection is required.
- Experience designing batch, streaming, operational, and analytical data workloads and data processing pipelines using ETL and ELT is required.
- Advanced knowledge of MySQL, MSSQL, Oracle, PostgreSQL, SQL, database programming, schema design, and execution-plan analysis is required.
- Experience with MongoDB, SQL Server, SQLite, database performance, concurrency, recovery, high-volume batch processing, and data-warehouse design is preferred.
- Hands-on Java or Python experience is preferred.
- Experience with REST APIs, microservices, and Spring or comparable application frameworks is preferred.
- Awareness of modern front-end architecture, including ReactJS or comparable frameworks, is preferred.
- A minimum of 15 years of full-time education is required.
Benefits
- Work from the client location in Kharadi, Pune three days per week.
Tech Stack
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.