Job Description

Overview:

Sr. DG Solution Architect

We are looking for a Senior Data Governance Solution Architect who can lead data consulting, solution design, and delivery for multiple clients supporting data practice role. This role requires strong technical skills along with the ability to engage with customers, support presales teams, and help win new business. You will work with clients and internal teams to design data governance strategy, frameworks, solutioning and implementation of data governance, catalogs, data quality, lineage, privacy and security and AI Governance. Ability to learn and acquire the new skills quickly and a pro-active with strong problem solving capability. Should have done multiple end to end data governance, data quality implementations. Experience with Banking customers is plus.
Responsibilities:

Key Roles & Responsibilities

---------------------------------

1. Data Governance Architecture & Strategy

+ Define and lead

enterprise data governance architecture

aligned with business objectives and regulatory requirements.
+ Design

end-to-end data governance frameworks

, including:
- Data ownership and stewardship models
- Policies, standards, and controls
- Operating models and governance workflows
+ Translate business and regulatory requirements into

scalable technical governance solutions

.
+ Advise clients on

data governance maturity models

and roadmap development.

2. Solution Design & Implementation (Collibra & Informatica Focus)

+ Lead

end-to-end implementation

of data governance solutions using:
-

Collibra Data Intelligence Cloud

(Catalog, Governance, Lineage, Privacy & Risk, AI Governance)
-

Informatica

(IDMC, Axon, Enterprise Data Catalog, Data Quality, MDM integrations)
+ Architect and implement:
- Data cataloging and metadata management
- Business glossary and policy management
- Technical and business lineage
- Data quality rules, scorecards, and issue management
- Privacy, consent, and sensitive data classification
+ Integrate Collibra and Informatica with

cloud data platforms

and enterprise systems.
+ Ensure solutions are

secure, scalable, and aligned with modern data architectures

.

3. Modern Data Stack Enablement

+ Design governance solutions for

modern data stacks

, including:
- Cloud platforms:

AWS, Azure, GCP

- Data warehouses/lakehouses:

Snowflake, Databricks, BigQuery, Redshift, Synapse

- Data lakes and streaming platforms
- BI and analytics tools
+ Enable

governance-by-design

across CI/CD pipelines, data ingestion, and analytics workflows.
+ Integrate governance with

data engineering, analytics, and AI/ML platforms

.

4. AI, Privacy, and Security Governance

+ Design and implement

AI Governance frameworks

, including:
- Model metadata management
- Data lineage for AI/ML pipelines
- Responsible AI controls and compliance
+ Implement

data privacy and security governance

, including:
- PII identification and classification
- Regulatory compliance (e.g., GDPR, CCPA, BCBS, SOX)
- Role-based access, policy enforcement, and auditability

5. Client Engagement & Consulting Leadership

+ Act as a

lead architect and trusted advisor

for client engagements.
+ Conduct workshops and discovery sessions with business, data, and IT stakeholders.
+ Provide architectural guidance, best practices, and thought leadership.
+ Lead and mentor delivery teams (architects, developers, consultants).
+ Ensure successful delivery across

multiple concurrent client engagements

.

6. Pre-Sales & Practice Enablement

+ Support

pre-sales activities

, including:
- Solution architecture and design
- RFP/RFI responses
- Technical presentations and demos
+ Collaborate with sales and leadership to shape

data governance offerings

.
+ Contribute to practice assets, accelerators, reference architectures, and reusable frameworks.
+ Stay current on Collibra, Informatica, and modern data ecosystem trends.

Required Qualifications

---------------------------

Education

+ Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred).

Experience

+

10+ years

of overall data and analytics experience.
+

5+ years

in

data governance, data management, or metadata management

roles.
+ Proven experience delivering

multiple end-to-end data governance implementations

.
+ Strong hands-on experience with:
-

Collibra Data Intelligence Cloud

-

Informatica (IDMC, Axon, EDC, EDQ)

+ Experience working with

banking or financial services clients

is a strong plus.

Technical Skills

+ Deep expertise in:
- Data Governance, Data Catalog, Metadata Management
- Data Quality, Lineage, and Master/Reference Data concepts
- Privacy, Security, and Regulatory Compliance
+ Strong understanding of

modern data architectures

and cloud-native platforms.
+ Experience integrating governance tools with:
- Data warehouses, lakehouses, ETL/ELT tools, BI platforms
+ Knowledge of APIs, metadata ingestion, and automation frameworks.

Professional & Soft Skills

+ Strong

client-facing and consulting skills

with executive-level communication ability.
+ Proven ability to lead architecture discussions and influence stakeholders.
+ Excellent problem-solving and analytical skills.
+ Ability to

learn new tools and technologies quickly

.
+ Self-driven, proactive, and comfortable working in fast-paced environments.

Preferred Certifications (Nice to Have)

-------------------------------------------


+ Collibra Certification (Ranger, Expert, or Architect)
+ Informatica Certification (IDMC, Axon, DQ)
+ Cloud certifications (AWS, Azure, GCP)


Qualifications:

B-Tech , MCA
Essential skills:

Required Qualifications

+ 15+ years of experience in Data Architecture, Data Engineering, or Solution Architecture.
+ Strong experience in data modeling, data warehousing, and modern data platform design.
+ Hands-on experience with cloud data platforms such as AWS, Azure, GCP, Databricks, Snowflake, Informatica, etc.
+ Experience building scalable and cost-effective cloud-based data solutions.
+ Good understanding of data governance, security, and compliance.
+ Strong communication and consulting skills; able to work with multiple clients and teams.
+ Experience in presales, proposal writing, and responding to RFPs/RFIs.


Desired skills:
Experience supporting presales, proposal writing, and RFP/RFI responses in an IT services environment. Exposure to AI/ML solution architectures and integrating AI capabilities within data ecosystems. Strong problem-solving skills and ability to operate in multi-client, multi-domain environments.

Experience:

15+