Atacama Consultant

Tata Consultancy Services; Hyderabad, Pune District, Bengaluru; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Tata Consultancy Services seeks an experienced Ataccama Consultant to design, configure, implement, and support Data Quality, Master Data Management, and Data Governance solutions using the Ataccama ONE platform.

You will collaborate with business stakeholders, data stewards, data architects, and engineering teams to improve data trust and define KDE-level rules for scalable governance across enterprise domains.

Qualifications

• Experience implementing the Ataccama ONE platform.
• Knowledge of data quality rules and dashboards.
• Ability to collaborate with cross-functional teams.
• Experience in data governance and KDE-level rules.

Responsibilities

• Design, develop, and configure Ataccama ONE platform components for DQ, Governance, Catalog, MDM, and RDM use cases.
• Develop reusable data quality rules, validation frameworks, monitoring logic, workflows, and dashboards.
• Configure matching, merging, survivorship, and hierarchy management as required.
• Support environment setup, configuration management, migration, deployment, and release activities.
• Collaborate with architects, data engineers, SMEs, and stakeholders to convert requirements into Ataccama designs.
• Prepare documentation, provide training, and knowledge transfer for support teams.

Skills

Ataccama ONE

Data Quality

Data Governance

MDM

Job description

Role & responsibilities

Ataccama Platform Implementation

• Design, develop, and configure Ataccama ONE platform components for Data Quality, Data Governance, Data Catalog, MDM, and Reference Data Management use cases.
• Develop reusable data quality rules, data validation frameworks, monitoring logic, workflows, and dashboards.
• Configure matching, merging, survivorship, hierarchy management, stewardship workflows, and approval processes as required.
• Support environment setup, configuration management, migration, deployment, and release activities.

Data Quality Management

• Conduct data profiling, data quality assessments, and issue analysis across source systems and master data domains.
• Define data quality dimensions, rules, thresholds, scorecards, alerts, and operational monitoring processes.
• Support root cause analysis, remediation planning, DQ incident management, SLA tracking, certification, and audit processes.
• Partner with domain consultants and business users to define KDE-level rules and target quality benchmarks.

Master Data Management

• Support design and implementation of MDM data models, business rules, golden record logic, reference data structures, and stewardship processes.
• Configure match-merge strategies, survivorship rules, duplicate detection, hierarchy management, and relationship management.
• Work across customer, supplier, material/product, location, or other enterprise master data domains depending on project scope.

Data Governance & Metadata

• Implement data governance operating models, business glossaries, data dictionaries, metadata management processes, and ownership frameworks.
• Enable data stewardship, workflow-based approvals, governance councils, standards, and policy adoption.
• Facilitate workshops to align business definitions, data ownership, and governance expectations.

Integration & Stakeholder Collaboration

• Collaborate with architects, data engineers, integration teams, SMEs, and business stakeholders to convert requirements into Ataccama solution designs.
• Support integration with enterprise applications, databases, cloud platforms, APIs, ETL/ELT workflows, and reporting ecosystems.
• Prepare functional and technical documentation, provide training, and conduct knowledge transfer for support and business users.

Preferred candidate profile

We are seeking an experienced Ataccama Consultant to design, configure, implement, and support Data Quality, Master Data Management, and Data Governance solutions using the Ataccama ONE platform. The consultant will collaborate with business stakeholders, data stewards, data architects, and engineering teams to improve data trust, establish measurable data quality controls, and support enterprise master data programs.