Posted:1 week ago|
Platform:
Work from Office
Full Time
Define and implement enterprise-wide data quality frameworks and governance standards.
Design DQ monitoring architecture profiling, lineage integration, and alerting mechanisms.
Establish KPIs and DQ scorecards to measure and communicate data trust metrics across domains.
Build and optimize complex validation, reconciliation, and anomaly detection workflows using PySpark and Python.
Implement rule-based and ML-based DQ checks, leveraging Ataccama workflows and open-source frameworks.
Integrate DQ rules into CI/CD and orchestration platforms (Airflow, ADF, or Databricks Workflows).
Partner with data engineers to embed DQ checks into ingestion and transformation pipelines.
Lead root-cause investigations for recurring DQ issues and drive long-term remediation solutions.
Create and enforce best practices for rule versioning, DQ exception handling, and reporting.
Own the playbook for DQ incident response and continuous optimization.
Act as the primary liaison between business data owners, IT, and governance teams.
Translate business DQ requirements into technical implementation strategies.
Drive executive-level reporting on DQ KPIs, SLAs, and issue trends.
Contribute to metadata management, lineage documentation, and master data alignment.
Guide junior analysts and data engineers in developing robust DQ solutions.
Lead cross-functional squads to implement new data quality capabilities or upgrades.
Contribute to capability uplift training peers on DQ best practices, tools, and technologies.
Databricks (Delta Lake), PySpark, SQL, Python
Ataccama ONE / Studio (rule authoring, workflow automation, profiling)
Apache Airflow, Azure Data Factory, Databricks Workflows, GitHub Actions
Databricks Lakehouse
Azure (preferred), AWS, or GCP; familiarity with Terraform or IaC concepts
Git, GitHub Actions, Azure DevOps
Collibra, Alation, Ataccama Catalog, OpenLineage
Grafana, Datadog, Prometheus for DQ metrics and alerts
Bachelor s or Master s in Computer Science, Information Systems, Statistics, or related field.
Proven experience designing and deploying enterprise DQ frameworks and automated checks.
Solid understanding of data models, lineage, reconciliation, and governance frameworks
Experience integrating DQ checks into CI/CD pipelines and orchestrated data flows.
Strong analytical thinking and systems-level problem solving.
Excellent communication and presentation skills for senior stakeholders.
Ability to balance detail orientation with strategic vision.
Influencer with a proactive, ownership-driven mindset.
Comfortable leading cross-functional teams in fast-paced, cloud-native environments.
Experience in financial, manufacturing, or large enterprise data environments.
Certifications: Databricks, Ataccama, or Cloud Data Engineering certifications (Azure/AWS).
Increased DQ rule coverage and automation across key data domains.
Reduced manual DQ exceptions and faster remediation cycle times.
Measurable improvement in data trust metrics and reporting accuracy.
High stakeholder satisfaction with data availability and reliability.
Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).
Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krak w, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.
Infogain
Upload Resume
Drag or click to upload
Your data is secure with us, protected by advanced encryption.
Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.
We have sent an OTP to your contact. Please enter it below to verify.
Instantly access job listings, apply easily, and track applications.
bengaluru
32.5 - 40.0 Lacs P.A.
bengaluru
7.0 - 9.0 Lacs P.A.
maharashtra
Salary: Not disclosed
Bengaluru
32.5 - 40.0 Lacs P.A.
Bengaluru
32.5 - 40.0 Lacs P.A.
hyderabad
0.8 - 3.0 Lacs P.A.
20.00001 - 30.0 Lacs P.A.
hyderabad, pune, bengaluru
10.0 - 20.0 Lacs P.A.
7.0 - 17.0 Lacs P.A.
12.0 - 15.0 Lacs P.A.
