IN-Senior Associate_Data Observability Specialist_ Data and Analytics_Advisory_Bangalore

PwC - Global; Bengaluru; On-site; INR 12,00,000 - 15,00,000; Full time

Job summary

A global consulting firm is seeking a Senior Associate specializing in Data Observability in Bangalore, India. This role involves ensuring data systems are reliable and aligned with goals. Candidates should have over 5 years experience in data management and familiarity with observability tools. Education in Data Management or related fields is preferred. This role offers a chance to work in an innovative environment.

Qualifications

• 5+ years of experience in Data Management or related fields.
• Hands-on experience with data observability or data lineage frameworks.
• Strong understanding of data lineage and quality metrics.

Responsibilities

• Support best practices for data observability.
• Align observability with governance and compliance frameworks.
• Train teams on data observability concepts.

Skills

Data Management

Data Quality

Data Engineering

Data Observability

SQL

Problem solving

Communication

Stakeholder management

Education

Bachelor’s or Master’s degree in Data Management, Computer Science

Tools

Monte Carlo

Soda

Great Expectations

Collibra

Alation

Data Bricks

Job description

Overview

Line of Service: Advisory

Industry/Sector: Not Applicable

Specialism: Data, Analytics & AI

Management Level: Senior Associate

Job Description & Summary: The role is part of the Data Observability Specialist, within Enabling Data Platforms, with the aim to ensure data systems remain reliable, transparent, and aligned with organizational goals, enabling other teams to confidently use data for decision-making and innovation. The team ensures that data systems, pipelines and models are monitored, traceable and optimized for reliability and performance.

Responsibilities

• Support the implementation of best practices and guidelines for data observability across the organization.
• Align observability with data governance, quality, and compliance frameworks; act as a bridge between data observability technology and business needs.
• Collaborate with data stewards, governance teams, and business units to ensure data is reliable, transparent, and accessible.
• Train and educate teams on data observability concepts and tools.
• Define performance indicators (KPIs) for data health, including completeness, accuracy, timeliness and resource consumption.
• Support clear visibility into data lineage, helping teams understand the origin, transformation, and usage of data across the ecosystem.
• Partner with Data Governance and Engineering teams to improve lineage tracking and documentation.
• Support business teams in understanding the impact of data anomalies and outages.
• Support response efforts from a functional perspective, ensuring that business-critical data remains available and trustworthy.
• Use lineage insights to trace root causes of data issues and prevent recurrence.
• Monitor that observability practices align with internal policies and regulatory requirements (e.g., GDPR).
• Provide functional insights on data lineage, security, and compliance implications.
• Monitor that lineage tracking supports auditability and accountability for data governance.

Mandatory skills

• 5+ years of experience in Data Management, Data Quality and possibly Data Engineering.
• Hands-on experience with data observability, data lineage, or data quality frameworks in large-scale organizations.
• Hands-on experience with data observability tools (e.g., Monte Carlo, Soda, Great Expectations, Collibra, Alation, Data Bricks).

Preferred skills (Good to have)

• Bachelor’s or Master’s degree in Data Management, Computer Science, Information Systems, Business Analytics, or a related field.
• Strong understanding of data lineage, data quality metrics, and data monitoring methodologies.
• Experience with data platforms and cloud environments (AWS, Azure, or GCP).
• Knowledge of SQL and ability to interpret technical data flows.
• Understanding of ETL/ELT processes and how data moves across the organization.
• Strong problem-solving skills to analyze data issues and recommend functional improvements.
• Excellent communication and stakeholder management skills to translate technical insights into business value.
• Excellent written and verbal English.
• Familiarity with data observability tools and data governance frameworks and standards (e.g., DAMA DMBOK, DCAM).
• Knowledge of regulatory compliance considerations (e.g., GDPR).

Experience & Education

Years of experience required: 5+ years

Education qualification: BE, B.Tech, ME, M.Tech, MBA, MCA (60% or above)

Education

Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of Engineering (degrees/field of study preferred)

Certifications

Required Skills: Data Standardization

Other

Available for Work Visa Sponsorship? No

Government Clearance Required? No

Job Posting End Date: November 22, 2025