Data Governance Architect at Kanerika Software · Hyderabad, Indore, Ahmedabad · 15 - 30 years · ₹30L - ₹50L / yr · Profitable · Posted 13 Nov 2025

Who we are:
Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.
Awards and Recognitions
Kanerika has won several awards over the years, including:
CMMI Level 3 Appraised in 2024.
Best Place to Work 2022 & 2023 by Great Place to Work®.
Top 10 Most Recommended RPA Start-Ups in 2022 by RPA today.
NASSCOM Emerge 50 Award in 2014.
Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture.
Recognized for ISO 27701, 27001, SOC2, and GDPR compliances.
Featured as Top Data Analytics Services Provider by GoodFirms.
Working for us
Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika.
Locations
We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India).
Required Qualifications:
- 15+ years in data governance and management.
- Expertise in Microsoft Purview, Informatica, and related platforms.
- Experience leading end-to-end governance initiatives.
- Strong understanding of metadata, lineage, policy management, and compliance regulations.
- Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture.
- Familiar with Agile methodologies and stakeholder communication.
What You Will Do:
As a Data Governance Architect at Kanerika, you will play a pivotal role in shaping and executing the enterprise data governance strategy. Your responsibilities include:
1. Strategy, Framework, and Governance Operating Model
- Develop and maintain enterprise-wide data governance strategies, standards, and policies.
- Align governance practices with business goals like regulatory compliance and analytics readiness.
- Define roles and responsibilities within the governance operating model.
- Drive governance maturity assessments and lead change management initiatives.
2. Stakeholder Alignment & Organizational Enablement
- Collaborate across IT, legal, business, and compliance teams to align governance priorities.
- Define stewardship models and create enablement, training, and communication programs.
- Conduct onboarding sessions and workshops to promote governance awareness.
3. Architecture Design for Data Governance Platforms
- Design scalable and modular data governance architecture.
- Evaluate tools like Microsoft Purview, Collibra, Alation, BigID, Informatica.
- Ensure integration with metadata, privacy, quality, and policy systems.
4. Microsoft Purview Solution Architecture
- Lead end-to-end implementation and management of Microsoft Purview.
- Configure RBAC, collections, metadata scanning, business glossary, and classification rules.
- Implement sensitivity labels, insider risk controls, retention, data map, and audit dashboards.
5. Metadata, Lineage & Glossary Management
- Architect metadata repositories and ingestion workflows.
- Ensure end-to-end lineage (ADF → Synapse → Power BI).
- Define governance over business glossary and approval workflows.
6. Data Classification, Access & Policy Management
- Define and enforce rules for data classification, access, retention, and sharing.
- Align with GDPR, HIPAA, CCPA, SOX regulations.
- Use Microsoft Purview and MIP for policy enforcement automation.
7. Data Quality Governance
- Define KPIs, validation rules, and remediation workflows for enterprise data quality.
- Design scalable quality frameworks integrated into data pipelines.
8. Compliance, Risk, and Audit Oversight
- Identify risks and define standards for compliance reporting and audits.
- Configure usage analytics, alerts, and dashboards for policy enforcement.
9. Automation & Integration
- Automate governance processes using PowerShell, Azure Functions, Logic Apps, REST APIs.
- Integrate governance tools with Azure Monitor, Synapse Link, Power BI, and third-party platforms.

About Kanerika Software
About
Since 2015, Kanerika has been helping businesses turn ideas into impactful software products. With over 75 years of collective expertise, our team brings together deep product engineering knowledge and a passion for solving complex challenges. We focus on building software that is not just functional but transformative—solutions that create lasting value for our clients.
At Kanerika, we believe great outcomes come from strong partnerships, proven experience, and creative thinking. That’s why we keep our team lean, our approach hands-on, and our commitment unwavering: to deliver products that exceed expectations every time.
Candid answers by the company
Kanerika designs and develops software products that transform business challenges into lasting value.
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Roles & Responsibilities:-
- Develop and maintain enterprise data governance strategies, policies, and standards aligned with business goals
- Manage Microsoft Purview accounts, collections, and RBAC; optimize for large-scale environments (50TB+)
- Design metadata repositories and maintain business glossaries and data dictionaries
- Implement ingestion workflows via ADF, REST APIs, PowerShell, Azure Functions
- Define classification rules and sensitivity labels (PII, PCI, PHI); integrate with MIP, DLP, Insider Risk Management
- Define KPIs and dashboards to monitor data quality across domains
- Maintain business glossary with domain owners and stewards; enforce approval workflows
- Automate governance processes using PowerShell, Azure Functions, Logic Apps
- Set up dashboards for audit logs, compliance reporting, and metadata coverage
- Collaborate across business, IT, legal, and compliance teams for role alignment
Ideal Candidate:-
- Strong Data Governance Lead Profile with deep Microsoft Purview and enterprise governance expertise
- Mandatory (Experience 1): Must have 7+ years of experience in data governance and data management with at least the recent 3+ years of exposure in Microsoft Purview
- Mandatory (Experience 2): Must have experience defining, leading, and operationalizing an enterprise data governance framework — strategy, policies, and standards aligned to business goals and regulatory compliance.
- Mandatory (Tech skill 1): Must be proficient in Microsoft Purview — accounts, collections, RBAC, classification/labelling, DLP, Unified Catalog, Data Map, eDiscovery, Compliance Manager, and lifecycle/records management (ideally at large scale, 50TB+).
- Mandatory (Tech skill 2): Must be strong in metadata management, lineage mapping (e.g. ADF → Synapse → Power BI), data classification, and security governance (PII/PCI/PHI, sensitivity labels, MIP/DLP)
- Mandatory (Tech skill 3): Must have experience with data governance tools such as Informatica (Axon), Collibra, Atlan, or IBM IG Catalog.
- Mandatory (Tech skill 4): Must have experience integrating governance with the Azure data stack (Data Lake, Synapse, SQL DB, Power BI) and Snowflake, and automating via ADF, REST APIs, PowerShell, Azure Functions / Logic Apps.
- Mandatory (Tech skill 5): Must have experience defining data quality KPIs/dashboards, remediation workflows, and business glossary/stewardship (domain owners, approval workflows, metadata audits)
- Mandatory (Compliance): Must have strong knowledge of GDPR, CCPA, HIPAA, and SOX compliance requirements.
- Mandatory (Skill): Must be able to bridge technical governance with business and compliance goals, collaborating across business, IT, legal, and compliance teams, and driving governance training and change management
- Mandatory (Company): B2B Tech/Consulting/B2B Software
We are hiring a Senior Data Governance Manager with 5+ years of data-management experience to define and run enterprise data governance policy, quality, metadata, lineage, and cataloging so the business can trust and safely use its data.
Key Responsibilities
• Define and enforce data governance policies and standards
• Own data quality frameworks, monitoring, and remediation
• Manage metadata, data lineage, and cataloging
• Drive master data management (MDM) practices
• Ensure compliance with privacy/regulatory requirements
• Align business and technical stakeholders on standards
Mandatory Skills
• 5+ years in data management with governance ownership
• Data governance frameworks and policy
• Data quality and master data management
• Metadata management and data cataloging
• Strong SQL and data-platform understanding
• Stakeholder alignment and compliance
Nice to Have: Collibra/Informatica/Alation; cloud data platforms (Snowflake, Azure, GCP)
Job Description:
Experience: 10+ Years
Job Summary
We are looking for an experienced Azure Fabric Data Architect to lead the design and implementation of an enterprise data platform on Microsoft Fabric. The role involves architecting scalable data solutions, defining data governance, and enabling AI-driven analytics for a global financial services client.
Key Responsibilities
- Design end-to-end data architecture using Microsoft Fabric.
- Build enterprise Lakehouse, Data Warehouse, and OneLake solutions.
- Define data ingestion, ETL/ELT, governance, security, and performance strategies.
- Lead architecture for AI-powered analytics, AI Agents, and enterprise chatbots using Azure AI services.
- Work with business stakeholders to translate requirements into technical solutions.
- Mentor engineering teams and provide technical leadership.
Required Skills
- Microsoft Fabric (Data Factory, Lakehouse, Data Warehouse, OneLake)
- Azure Data Engineering
- Power BI
- Azure AI Services / Azure OpenAI
- Data Architecture & Data Modeling
- SQL, Python
- Azure DevOps, CI/CD
- Strong stakeholder management and solution design experience
Preferred: Experience in Capital Markets or Financial Services and Microsoft Azure/Fabric certifications.
NOTE: One technical round is mandatory to be taken F2F from office.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
10+ years of experience in Data Architecture, Data Engineering, or Data Platforms
• Strong expertise in IBM DB2 / On-Prem Relational Databases
• Strong expertise in PostgreSQL
• Hands-on experience with the Azure Data Ecosystem, including:
▪ Azure Data Factory (ADF)
▪ Azure Data Lake Storage Gen2 (ADLS Gen2)
▪ Azure Databricks / Synapse Analytics
▪ Azure Event Hub / Service Bus
▪ Azure Functions
About the Role
We are looking for an experienced Power BI Architect to lead enterprise-wide BI initiatives. This role will be responsible for designing, implementing, and governing scalable Power BI solutions across the organization. The ideal candidate will play a key role in establishing best practices, driving adoption, and owning the overall BI architecture within the Center of Excellence (CoE).
Key Responsibilities
- Lead end-to-end implementation of Power BI solutions across the enterprise
- Design scalable, secure, and high-performance BI architecture
- Act as the Power BI Architect, providing technical leadership and direction
- Own and drive BI governance, standards, and best practices within the CoE
- Collaborate with business and technology teams to translate requirements into robust BI solutions
- Define data modeling strategies, reporting frameworks, and dashboard standards
- Ensure data accuracy, consistency, and performance optimization across reports
- Support and guide development teams in Power BI implementation
- Enable enterprise-wide adoption of Power BI through training, documentation, and mentorship
- Work closely with IT/technology teams to integrate Power BI with data platforms and enterprise systems
Required Skills & Qualifications
- 10+ years of experience in BI/Data Analytics, with strong focus on Power BI
- Proven experience in enterprise-wide Power BI implementation
- Strong expertise in:
- Power BI (Desktop, Service, Gateway, Dataflows)
- Data Modeling (Star Schema, Snowflake Schema)
- DAX, Power Query (M language)
- Experience in designing and implementing BI architecture at scale
- Strong understanding of data warehousing concepts and ETL processes
- Experience working within a Center of Excellence (CoE) model
- Excellent stakeholder management and communication skills
Preferred Skills
- Experience with Azure (Azure Synapse, Data Factory, Data Lake)
- Knowledge of DevOps practices for Power BI (CI/CD pipelines)
- Exposure to governance tools and security frameworks
- Certification in Power BI / Microsoft Data Platform
Example:
We are looking for an experienced Data Architect to design, develop, and manage the organization's enterprise data architecture. The candidate will be responsible for building scalable data platforms, ensuring data quality and governance, and supporting business analytics through modern data solutions.
Experience Required
Mention the minimum years of experience.
Example:
- Minimum 12 years of experience in Data Architecture, Data Engineering, or related fields.
- 5+ years of experience in the Banking/Financial Services domain is preferred.
Educational Qualification
Mention the required degree.
Example:
- BE/BTech in Computer Science, Information Technology, Software Engineering, Electronics & Communication Engineering, or equivalent.
- OR MCA/MTech/MSc in Computer Science, IT, or related disciplines.
- MBA is preferred.
Technical Skills
List the skills the candidate must have.
Example:
- AWS, Azure, or GCP
- Data Warehousing (DWH)
- ETL/ELT
- Database Management
- Data Modeling
- Data Analytics
- Data Lakes
- Data Governance
Key Responsibilities
Convert the points you received into simple action statements.
Example:
- Design and maintain enterprise data architecture.
- Develop data warehouses and data lakes.
- Define data standards and governance policies.
- Ensure data quality and security.
- Design ETL/ELT processes.
- Integrate data from multiple systems.
- Plan and execute data migration projects.
- Review existing data architecture and recommend improvements.
- Provide technical guidance to project teams.
- Evaluate new data technologies and tools.
Preferred Skills
These are not mandatory but are an advantage.
Example:
- Banking domain experience
- Strong analytical and problem-solving skills
- Good communication skills
- Leadership and stakeholder management
- Experience mentoring technical teams
Years of Exp: 5 to 8 Years (Relevant 5+ Years)
Location: Hyderabad
Notice Period: Immediate to 20 days
Offshore: Data Governance Analyst
Position Summary
Execute day-to-day Data Governance activities for RTB initiatives under the direction of the Onshore Lead. The role will focus on producing accurate, complete, and traceable governance artifacts that support enterprise standards, control requirements, and audit readiness.
Key Responsibilities
Register and maintain data assets, reports, and data products in Collibra and Data Marketplace.
Capture and validate business, technical, and operational metadata.
Document end-to-end data lineage, including sources, targets, transformations, and data movement.
Support business glossary, data classification, ownership, stewardship, and authoritative source documentation.
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Coordinate with data owners, engineers, architects, and application teams to resolve documentation gaps.
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Required Qualifications
Experience in Data Governance, Data Management, metadata management, lineage, or data quality.
Working knowledge of Collibra or a comparable governance platform.
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SQL proficiency and familiarity with cloud data platforms, preferably Snowflake.
Strong analytical, documentation, communication, and organizational skills.
Ability to work effectively in an onshore-offshore delivery model.
Preferred Qualifications
Experience with Collibra or similar Data Governance Platforms, Jira, Confluence, Cloud Data Solutions, Excel
Financial-services or regulated-industry experience.
Familiarity with Agile delivery and audit or regulatory documentation.
Key Responsibilities
- Lead end-to-end data migration initiatives, including assessment, planning, mapping, transformation, validation, and reconciliation.
- Define and implement data governance frameworks, standards, policies, and processes.
- Design and manage data solutions using Microsoft Azure Data Services.
- Lead development of BI dashboards, reports, KPIs, and analytics solutions.
- Work with business and technical stakeholders to understand reporting and data requirements.
- Develop and maintain data models, data pipelines, ETL/ELT processes, and reporting architecture.
- Ensure data quality, consistency, integrity, security, and compliance throughout migration and reporting processes.
- Identify data risks, dependencies, gaps, and migration challenges and drive their resolution.
- Establish data validation and reconciliation mechanisms to ensure migration accuracy.
- Provide technical leadership and guidance to data engineers, BI developers, and other project team members.
- Collaborate with application, cloud, infrastructure, and business teams during project implementation.
- Monitor data migration and BI deliverables against project timelines, quality standards, and business objectives.
- Prepare technical documentation, data dictionaries, mapping documents, governance guidelines, and project reports.
Required Skills & Experience
- 7+ years of experience in data, migration, BI, or related technology roles.
- Strong experience working on software/IT projects and managing data-related workstreams.
- Hands-on experience with Microsoft Azure Data Services.
- Strong understanding of data migration methodologies, ETL/ELT, data transformation, and reconciliation.
- Experience in Data Governance, Data Quality, Master Data, Metadata Management, and Data Security.
- Strong experience with BI reporting and dashboard development.
- Good understanding of SQL and relational databases.
- Experience with Power BI and data visualization is highly desirable.
- Knowledge of Azure services such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, or equivalent.
- Strong understanding of data architecture and data lifecycle management.
- Excellent stakeholder management, communication, analytical, and problem-solving skills.
Solution Architect – AZURE Data Engineering
Job Overview
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Key Responsibilities
- Design and implement scalable data architecture and solutions.
- Develop and manage Data Warehouse and Data Lake architectures.
- Design data platforms using Medallion Architecture.
- Lead Data Engineering and ETL activities.
- Work with Azure Synapse Analytics for data processing and analytics.
- Develop data solutions using PySpark / Apache Spark.
- Define and implement data validation and data quality processes.
- Collaborate with business, data, and technology teams to deliver effective data solutions.
Required Skills
- Strong experience in Solution Architecture / Data Architecture.
- Strong knowledge of Data Warehouse and Data Lake architecture.
- Good understanding of Medallion Architecture.
- Strong experience in Data Engineering and ETL.
- Hands-on experience with Microsoft Azure and Azure Synapse Analytics.
- Strong knowledge of PySpark / Apache Spark.
- Experience with Data Validation and Data Quality.
- Good communication and stakeholder management skills.
Experience
8+ Years
Role Summary
We are looking for an accomplished PowerBi Solution architect to architect and drive scalable, insight-rich analytics solutions across the enterprise. This role sits at the intersection of data engineering, business intelligence, and solution architecture—ideal for a candidate with mastery of modern visualization tools, modeling strategies, and end-to-end data integration.
Key Responsibilities
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● Design and lead the development of enterprise-grade data models using Star, Snowflake, and composite architecture
● Lead the integration of cloud-based data warehouse platforms including Oracle ADW and Snowflake
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Preferred Skills
● Experience with Power BI Premium capacity management and deployment pipelines
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