Data Management Practitioner

Accenture; Khordha; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Accenture in Bhubaneswar is seeking a Data Management Practitioner to uphold data quality and governance across diverse assets. You will design data strategies, implement scalable pipelines, and enforce compliance policies to safeguard sensitive information and optimize data usage.

You will lead and mentor a team, collaborate with cross-functional partners, and drive initiatives that strengthen data governance frameworks aligned with business goals.

Qualifications

• Minimum 7.5 year(s) of experience in Graph Databases.
• 15 years full time education.
• Proficiency in graph databases and related queries such as Cypher, SPARQL, and Gremlin.

Responsibilities

• Design and implement scalable ETL and ELT pipelines for graph data.
• Build knowledge graph infrastructure on platforms like Neo4j, Stardog, Neptune, or Jena.
• Write and optimize SPARQL, Cypher, and Gremlin queries for production workloads.
• Implement SHACL or ShEx constraints for ontology conformance.
• Develop APIs and microservices exposing graph data to consumers.
• Mentor mid-level and junior developers in graph engineering best practices.
• Lead data governance initiatives and drive reliability improvements.

Skills

Graph Databases

Neo4j

Python Frameworks

Data modeling

Query optimization

Education

15 years full time education

Tools

Stardog

Amazon Neptune

Apache Jena

Job description

Project Role: Data Management Practitioner

Role Description

Maintain the quality and compliance of an organizations data assets. Design and implement data strategies, ensuring data integrity and enforcing governance policies. Establish protocols to handle data, safeguard sensitive information, and optimize data usage within the organization. Design and advise on data quality rules and set up effective data compliance policies.

Minimum Experience

7.5 year(s) of experience is required.

Educational Qualification

15 years full time education.

Required Skills

• Graph Databases

Preferred Skills

• Neo4j
• Python Frameworks

Responsibilities

• Design and implement scalable ETL and ELT pipelines to ingest, transform, and load structured and unstructured data into graph databases.
• Build and maintain knowledge graph infrastructure on platforms such as Neo4j, Stardog, Amazon Neptune, Stardog, or Apache Jena including indexing, query optimization, and availability tuning.
• Write and optimize complex SPARQL, Cypher, and Gremlin queries for production graph workloads including traversal, inference, and aggregation.
• Implement SHACL or ShEx constraints and automated validation pipelines to enforce data conformance against ontology schemas.
• Develop APIs and microservices that expose graph data to downstream consumers including search, recommendation, and LLM/RAG pipelines.
• Integrate knowledge graph layers with vector databases and embedding models to support hybrid semantic search and retrieval-augmented generation.
• Collaborate with ontology designers to implement and version ontology changes safely in production without disrupting dependent services.
• Monitor graph platform performance, diagnose bottlenecks, and drive reliability improvements across ingestion and query layers.
• Conduct code reviews, define engineering standards, and mentor mid-level and junior developers on graph engineering best practices.
• Contribute to documentation, runbooks, and internal tooling to support the broader knowledge graph team’s productivity.
• Expected to be an SME, 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 their immediate team and across multiple teams.
• Lead initiatives to improve data governance frameworks and ensure alignment with organizational goals.
• Facilitate communication and coordination between cross-functional teams to promote data compliance and quality.
• Mentor junior team members to support their professional growth and enhance team capabilities.

Technical Skills

• Proficiency in Graph Databases, Neo4j, Python Frameworks.
• Good To Have Skills: Experience with Neo4j, Python Frameworks.
• Strong knowledge of data modeling and schema design specific to graph database technologies.
• Ability to develop and optimize queries for efficient data retrieval and manipulation within graph databases.
• Experience in implementing data governance policies and ensuring compliance with data protection regulations.
• Familiarity with integrating graph databases into broader data ecosystems and workflows.
• The candidate should have minimum 7.5 years of experience in Graph Databases.

This position is based at our Bhubaneswar office.