Job Type : Full Time

Job Positions : 2

Location : Chennai (Work from Home /Remote)

Job Description :

- 15+ years of total experience with the core, primary track record built on Informatica IDQ architecture, design, and delivery across enterprise-scale programs

- Principal or Lead Architect-level depth in Informatica Data Quality (IDQ) including rules engine design, exception framework architecture, bad records governance, scorecard strategy, and DQ platform roadmap ownership

- Strong working knowledge of Informatica Intelligent Cloud Services (IICS / IDMC) Cloud Data Quality modules and migration pathways from on-premise IDQ to cloud

- Proven track record of architecting and delivering end-to-end DQ frameworks for large-scale corporate or government programs not module-level configuration work

- Ability to define the DQ strategy at engagement level covering data profiling approach, rules taxonomy, remediation architecture, monitoring design, and handover standards

- Exceptionally strong SQL skills for data analysis, validation, and profiling across relational databases and enterprise data warehouse environments

- Solid command of data warehousing architecture, schema designs (Star / Snowflake), and data lake / lakehouse platform concepts

- Experience with diverse data formats structured, semi-structured, and API payloads across complex multi-source environments

- Knowledge of data management frameworks such as DAHMA or ISO 8000 is a strong advantage

- 15 years in IDQ architecture is the minimum bar candidates with fewer years of dedicated IDQ experience or implementation-only profiles will not be evaluated

Key Responsibilities:

- Architect and own the end-to-end Data Quality framework for the engagement defining the DQ strategy, rules taxonomy, remediation architecture, exception governance model, and monitoring design across 8 in-scope data sources

- Lead detailed data profiling and analysis across complex source systems (including SAP, Moamalat, Bawaba, and others) identifying structural anomalies, data gaps, quality risks, and root cause patterns

- Design and govern a reusable, production-grade catalog of DQ rules, thresholds, issue classifications, and escalation workflows in collaboration with senior business stakeholders and data governance leads

- Architect automated data cleansing pipelines covering standardisation, de-duplication, parsing, enrichment, and exception routing ensuring scalability, reusability, and auditability

- Define and oversee the integration of DQ rules into Informatica ETL / ELT pipelines ensuring continuous, automated data health enforcement before data reaches the Curated Lakehouse layer

- Design and publish enterprise-grade data quality scorecards and executive monitoring dashboards using Informatica's native capabilities or by architecting metrics pipelines into BigQuery / Tableau / Looker

- Set and enforce documentation standards for the engagement including DQ architecture blueprints, rules catalog, metadata mapping logs, remediation runbooks, and client knowledge transfer materials

- Serve as the highest technical authority on Informatica IDQ for the engagement guiding implementation team members, resolving architecture-level decisions, and advising the client at a strategic level on DQ platform evolution

Good to Have:

- Hands-on experience with BigQuery, Tableau, or Looker for DQ metrics architecture and executive reporting

- Familiarity with DAHMA or ISO 8000 data management frameworks

- Experience leading DQ architecture on government, banking, healthcare, or large enterprise data programs

- Knowledge of data governance principles, metadata management, data lineage, and master data management

- Experience working alongside MDM platforms (Informatica MDM, Stibo, or similar) in integrated data programs

- Informatica IDQ or IDMC certification is an added advantage

Must-Have Skills :

Informatica IDQ Architecture | IICS / IDMC Cloud DQ | DQ Strategy & Framework Design | Rules Engine & Exception Governance | SQL (Advanced) | Data Profiling at Scale | ETL / ELT Pipeline Integration | Data Lakehouse Architecture | DQ Scorecards & Executive Dashboards | Remediation Pipeline Design | Technical Documentation & Architecture Blueprints

Academic :

- Post Graduate / Graduate in Engineering / Technology / Computer Science