IN-Senior Associate_Data Observability Specialist_ Data and Analytics_Advisory_Bangalore

Description

& Summary : The role is part of the Data Observability Specialist, being part of 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. Chapter ensures that data systems, pipelines and models are monitored, traceable and optimized for reliability and performance.

Responsibilities :

Supporting the implementation of best practices and guidelines for data observability across the organization supporting the alignment of observability aligns with data governance, quality, and compliance frameworks acting as the bridge between data observability technology and business needs

• collaborating with data stewards, governance teams, and business units to ensure data is reliable, transparent, and accessible
• training and educating teams on data observability concepts and tools
• collaborating to define performance indicators (KPIs) for data health, including completeness, accuracy, timeliness and resources consumption
• supporting clear visibility into data lineage, helping teams understand the origin, transformation, and usage of data across the ecosystem
• partnering with Data Governance and Engineering teams to improve lineage tracking and documentation
• supporting business teams in understanding the impact of data anomalies and outages
• supporting the response efforts from a functional perspective, ensuring that business-critical data remains available and trustworthy
• using lineage insights to trace root causes of data issues and prevent recurrence
• monitoring that observability practices align with internal policies and regulatory requirements (e.g., GDPR)
• providing functional insights on data lineage, security, and compliance implications
• monitoring that lineage tracking supports auditability and accountability for data governance.

Mandatory skill sets :

‘Must have’ knowledge, skills and experiences

Preferred skill sets : ‘Good to have’ knowledge, skills and experiences

Years of experience required :

Experience and Qualifications

Education qualification :

o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

Education Degrees / Field of Study required : Bachelor of Engineering, Master of Business Administration, Master of EngineeringDegrees / Field of Study preferred : Certifications Required Skills Data Standardization Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Desired Languages Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date November 22, 2025