Senior Digital Solutions Consultant

Worley India Private Limited

Bengaluru

On-site

INR 2,500,000 - 4,000,000

Full time

14 days+

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Job summary

Worley in Bengaluru is looking for a Senior Digital Solutions Consultant to lead data quality and governance initiatives. You will design and implement enterprise quality frameworks, define metrics, and partner with data owners to ensure quality across source, transformation and consumption layers.

You will configure Collibra Data Quality and Data Intelligence, integrate AWS data services such as S3, Glue, Redshift, Lambda and Athena, and contribute to CI/CD, profiling, and governance processes.

Qualifications

  • 8+ years of experience in Data Quality, Data Governance, Data Engineering, Analytics or Enterprise Data Management.
  • Hands-on experience with Collibra Data Quality and Collibra Data Intelligence Platform.
  • Strong knowledge of metadata management, lineage, governance processes.
  • Advanced SQL and strong Python skills for profiling, reconciliation, automation and troubleshooting.
  • Hands-on knowledge of AWS data services (S3, Glue, Redshift, Lambda, Athena, CloudWatch, IAM).
  • Experience with ETL/ELT, data modelling, data warehousing and modern cloud data architectures.
  • Experience with Agile delivery, Git, code review, automated testing and CI/CD.
  • Strong analytical, facilitation, stakeholder management and communication skills.

Responsibilities

  • Design, implement and continuously improve the enterprise Data Quality Framework, including standards, control patterns, rule lifecycle, scorecards and remediation.
  • Define and operationalise quality dimensions such as accuracy, completeness, timeliness and validity.
  • Partner with Data Owners and Data Stewards to identify critical data elements and remediation processes.
  • Conduct profiling, anomaly detection, reconciliation, trend analysis and root-cause investigation across data layers.
  • Develop dashboards and scorecards covering quality KPIs and remediation progress.
  • Publish quality scores and issue status to governed assets for consumption.
  • Configure and operate Collibra datasets, rules, schedules and alerts.
  • Embed preventive and detective controls into ingestion and publishing pipelines using AWS services.

Skills

Data Quality
Data Governance
Data Engineering
Analytics
Enterprise Data Management

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Management or related discipline

Tools

Collibra Data Quality
Collibra Data Intelligence
AWS Glue
Amazon S3
Amazon Redshift
AWS Lambda
Amazon Athena
Git
CI/CD

Job description

Senior Digital Solutions Consultant

Company : Worley

Primary Location : IND-KR-Bangalore

Schedule : Full-time

Employment Type : Employee

Management Level : Individual Contributor

Reporting Manager Title : Senior Principal Digital Solutions Consultant

About us

Worley is a global company of energy, chemicals and resources experts headquartered in Australia. We partner with our customers to deliver projects and create value across the life of their assets. We specialize in consulting, engineering, procurement and construction across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable solutions.

The Role
Data Quality and governance
  • Design, implement and continuously improve the enterprise Data Quality Framework, including standards, control patterns, rule lifecycle, scorecards, thresholds, exceptions and continuous improvement.
  • Define and operationalise quality dimensions including accuracy, completeness, consistency, timeliness, uniqueness, validity and integrity.
  • Partner with Data Owners and Data Stewards to identify Critical Data Elements, define rules and thresholds, assign accountability and agree remediation processes.
  • Conduct profiling, anomaly detection, reconciliation, trend analysis and root-cause investigation across source, transformation and consumption layers.
  • Develop dashboards and scorecards covering quality KPIs, failed controls, recurring defects, ageing issues and remediation progress.
  • Maintain traceability between requirements, data assets, rules, findings, issues, lineage and remediation evidence.
Collibra responsibilities
  • Configure and operate Collibra Data Quality datasets, jobs, profiling, rules, findings, schedules, scorecards, thresholds and alerts.
  • Use Collibra Data Intelligence to connect business terms, technical assets, ownership, policies, quality rules, issues and end-to-end lineage.
  • Integrate AWS metadata and quality outcomes with Collibra using Edge capabilities, connectors, REST APIs and supported integration patterns.
  • Model and maintain communities, domains, assets, attributes, relations and responsibilities.
  • Develop or enhance workflows for rule approval, issue triage, ownership assignment, remediation, exception approval and closure.
  • Publish quality scores and issue status to governed assets so consumers can assess fitness for use.
AWS and data engineering responsibilities
  • Embed preventive and detective controls into ingestion, transformation and publishing pipelines using Amazon S3, AWS Glue, Amazon Redshift, AWS Lambda, Amazon Athena and Amazon CloudWatch.
  • Develop reusable SQL and Python components for profiling, validation, reconciliation, anomaly detection and control automation.
  • Implement logging, observability, alert routing, retry and failure-handling patterns.
  • Apply IAM roles, least privilege, secrets management, encryption and approved network controls.
  • Optimise rules and queries for performance, cost and maintainability across large datasets.
  • Contribute to Git-based version control, automated testing, CI/CD, documentation and release management.
Stakeholder engagement
  • Translate business requirements and data risks into measurable technical controls and operating procedures.
  • Facilitate workshops with business and technical stakeholders and communicate trends, risks, recommendations and improvement plans.
  • Partner with Architecture, Governance, Security and Data Platform teams to align delivery with enterprise standards.
About You

To be considered for this role it is envisaged you will possess the following attributes:

Required experience and capabilities 8+ years of experience in Data Quality, Data Governance, Data Engineering, Analytics or Enterprise Data Management.

  • Demonstrated experience designing and implementing enterprise Data Quality frameworks.
  • Hands-on experience with Collibra Data Quality and Collibra Data Intelligence Platform.
  • Strong knowledge of metadata management, business glossaries, lineage, stewardship and governance processes.
  • Advanced SQL and strong Python skills for profiling, reconciliation, automation and troubleshooting.
  • Hands-on knowledge of AWS data services, particularly S3, Glue, Redshift, Lambda, Athena, CloudWatch, Glue Data Catalog and IAM.
  • Experience with ETL/ELT, data modelling, data warehousing and modern cloud data architectures.
  • Experience with Agile delivery, Git, code review, automated testing and CI/CD.
  • Strong analytical, facilitation, stakeholder management, documentation and communication skills.
  • Ability to work independently and drive data quality issues through to verified closure.
Desirable experience and qualifications
  • Experience with Collibra Edge, REST APIs, workflow automation, Groovy or Flowable-based development and metadata ingestion patterns.
  • Knowledge of AWS Lake Formation and event-driven integration patterns.
  • Experience in EPCM or project-based domains including engineering, procurement, construction, project controls or finance.
  • Understanding of DAMA-DMBOK, DCAM, ISO 8000, privacy, security and records-management principles.
  • Collibra certification in Data Quality, Data Stewardship, Workflow, Integration or Solution Architecture.
  • AWS Certified Data Engineer, AWS Certified Solutions Architect or Certified Data Management Professional certification.
Education - Qualifications, Accreditation, Training

Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Management or a related discipline, or equivalent relevant experience.

Moving forward together

We want our people to be energized and empowered to drive sustainable impact. So, our focus is on a values-inspired culture that unlocks brilliance through belonging, connection and innovation. We're building a diverse, inclusive and respectful workplace. Creating a space where everyone feels they belong, can be themselves, and are heard. And we're not just talking about it; we're doing it. We're reskilling our people, leveraging transferable skills, and supporting the transition of our workforce to become experts in today's low carbon energy infrastructure and technology. Whatever your ambition, there's a path for you here. And there's no barrier to your potential career success. Join us to broaden your horizons, explore diverse opportunities, and be part of delivering sustainable change.

Experience Level

Senior Level

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