Data Modeler/Data Architect -10+ Yrs (Contract To Hire role)

We are looking for Data Modeler / Data Architect Contract to Hire role.

Role 1

Job Title: Data Modeler

Experience:

Role Overview

Data Modeler

Key Responsibilities

• Data Modeling

• Develop and maintain

  conceptual, logical, and physical data models

  for transactional and analytical systems.
• Create

  ER diagrams

  , dimensional models, and metadata repositories.

• Analysis & Design

• Translate business requirements into scalable data structures.
• Evaluate existing data models and recommend improvements.

• Governance & Standards

• Establish and enforce

  data modeling standards

  , naming conventions, and best practices.
• Maintain

  data dictionaries

  and metadata management.

• Integration & Migration

• Design solutions for

  data migration

  and integration between legacy and modern systems.
• Support ETL/ELT processes and ensure data quality.

• Collaboration

• Work with BI teams, data architects, and developers to ensure alignment with business goals.

• Performance & Optimization

• Optimize data models for

  performance, scalability, and compliance

  .

• Documentation

• Prepare detailed

  data architecture reports

  and maintain version control.

Required Skills & Qualifications

• Education:

• Bachelor’s/Master’s in Computer Science, Information Systems, or related field.

• Experience:

• 10+ years in

  data modeling

  ,

  database design

  , and

  data architecture

  .

• Technical Expertise:

• Strong knowledge of

  relational (SQL)

  and

  NoSQL databases

  .
• Proficiency in

  data modeling tools

  (ERwin, PowerDesigner, SAP PowerDesigner).
• Familiarity with

  data warehousing

  ,

  ETL tools

  , and

  big data platforms

  .
• Understanding of

  data governance

  ,

  metadata management

  , and

  data security

  .

• Soft Skills:

• Excellent analytical, communication, and stakeholder management skills.

• Certifications (Preferred):

• CDMP (Certified Data Management Professional), DAMA, or equivalent.

Tools & Technologies

• Databases:

  Oracle, SQL Server, PostgreSQL, MongoDB

• Modeling Tools:

  ERwin, PowerDesigner, Visio

• ETL/ELT:

  Informatica, Talend

• Cloud:

  AWS Redshift, Azure Synapse, Google BigQuery

Next Role

Role 2nd

Job Title: Data Architect

Experience:

Role Overview

Data Architect

Key Responsibilities

• Design & Strategy

• Define and implement enterprise data architecture strategy and roadmap.
• Develop conceptual, logical, and physical data models for transactional and analytical systems.

• Data Governance & Compliance

• Establish and enforce data governance frameworks, standards, and security policies.
• Ensure compliance with regulatory requirements (GDPR, HIPAA, etc.).

• Integration & Optimization

• Architect and oversee ETL/ELT pipelines for efficient data integration.
• Optimize data storage, retrieval, and processing for performance and cost-efficiency.

• Technology Leadership

• Evaluate and recommend data management technologies (databases, cloud platforms, tools).
• Mentor team members on best practices in data architecture.

• Collaboration

• Work closely with business analysts, data engineers, and stakeholders to translate business needs into technical solutions.

• Documentation

• Maintain comprehensive documentation of data architecture, standards, and processes.

Required Skills & Qualifications

• Education:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.

• Experience:

• 10+ years in data architecture, data engineering, or related roles.

• Technical Expertise:

• Strong knowledge of

  database design

  ,

  data modeling

  , and

  data warehousing

  .
• Proficiency in

  SQL

  ,

  NoSQL

  ,

  ETL tools

  , and

  data integration frameworks

  .
• Hands-on experience with

  cloud platforms

  (AWS, Azure, GCP).
• Familiarity with

  big data technologies

  (Hadoop, Spark) and

  data governance frameworks

  .

• Soft Skills:

• Excellent problem-solving, analytical, and communication skills.
• Ability to lead cross-functional teams and manage complex projects.

• Certifications (Preferred):

• AWS Certified Big Data, Azure Data Engineer, or equivalent.

Typical Tools & Technologies

• Databases:

  Oracle, SQL Server, PostgreSQL, MongoDB

• ETL/ELT:

  Informatica, Talend, Apache NiFi

• Cloud:

  AWS Redshift, Azure Synapse, Google BigQuery

• Data Modeling:

  ERwin, PowerDesigner

• Governance:

  Collibra, Alation

Education:

Bachelor’s degree in Computer Science, Information Technology, or related field.

Client Company

One of the leading global technology consulting firms.

Payroll Company

A top-tier IT services and staffing organization with a strong global presence across India, UK, Europe, Australia, New Zealand, US, Canada, Singapore, Indonesia, and the Middle East.

Role Highlights: Stability, Security & Work Mode

Employment Type: Contract-to-Hire (C2H)

Long-term engagement with a high probability of conversion to Full-Time Employment (FTE) within 3–6 months, based on performance and professional conduct.

Work Mode: Hybrid (2–3 days from office)

Interview Process:

2 virtual rounds, followed by one mandatory face-to-face meeting at any of the client locations: Pune / Hyderabad / Bangalore / Chennai.

Compliance & Background Verification

Must provide valid experience and relieving letters from all previous employers.

Continuous PF history for the last 4 years is mandatory.

Compensation & Benefits

Statutory benefits: PF, Gratuity, Medical Insurance, Paid Leave, and Paid Holidays.

Smooth transition to client payroll upon conversion.

Fully compliant process, including issuance of Form 16 at the end of the financial year.

Candidate Summary Sheet

Please fill in the following details accurately:

Applying for which role, Data Architect or Data Modeler.

Personal Information

• Full Name (as per official documents):
• Primary Contact Number:
• Alternate Contact Number:
• Primary Email ID:
• Alternate Email ID:

Compensation & Employment

• Current CTC:
• Expected CTC:
• Notice Period in Current Company:
• Current Employment Status (Working / Not Working):
• If not working, last working date:

Location Preferences

• Current Location:
• Preferred Location(s):

Role Acceptance

• This is a

  Contract-to-Hire (C2H)

  position. Are you comfortable with this arrangement? (Yes/No):

Educational Background

• Highest Qualification:

Employment History

• Current Employer (Payroll Company):
• Previous Employer:
• Second Previous Employer:
• Third Previous Employer:

Offer Status

• Are you currently holding any offer? (Yes/No):
• Are you expecting any offer? (Yes/No):

Compliance Details

• PF Deduction in Current Company: (Yes/No)
• PF Deduction in Previous Employers: (Yes/No for each)

What you need to share with us

• UAN Service History (Mandatory to share )

Professional details, If applying for Data Architect Role :

• Total Experience (in years):

• Experience in Data Architecture & Design:

  (Conceptual, Logical, Physical Modeling, Enterprise Data Strategy)

• Experience in Data Modeling Tools:

  (ERwin, PowerDesigner, SAP PowerDesigner)

• Experience in Database Technologies:

  (Oracle, SQL Server, PostgreSQL, NoSQL – MongoDB, Cassandra)

• Experience in Cloud Data Platforms:

  (AWS Redshift, Azure Synapse, Google BigQuery)

• Experience in Data Warehousing & ETL:

  (Informatica, Talend, Apache NiFi)

• Experience in Big Data Technologies:

  (Hadoop, Spark, Hive)

• Experience in Data Governance & Metadata Management:

  (Collibra, Alation, Data Quality Frameworks)

• Experience in Performance Optimization & Scalability:

  (Indexing, Partitioning, Query Optimization)

• Experience in Security & Compliance:

  (GDPR, HIPAA, IAM Policies)

• Experience in Automation & Scripting:

  (Python, Shell, SQL Procedures)

• Certifications (Preferred):

  (AWS/Azure/GCP Data Specialty, CDMP, DAMA)

Professional details, If applying for Data Modeling Role :

• Total Experience (in years):

• Experience in Data Modeling (Conceptual, Logical, Physical):

  (ER diagrams, Dimensional Modeling, Star/Snowflake Schema)

• Experience in Data Modeling Tools:

  (ERwin, PowerDesigner, SAP PowerDesigner, Visio)

• Experience in Database Technologies:

  (Oracle, SQL Server, PostgreSQL, NoSQL – MongoDB, Cassandra)

• Experience in Data Warehousing & BI:

  (ETL/ELT processes, Data Marts, OLAP cubes)

• Experience in Metadata Management & Data Governance:

  (Collibra, Alation, Data Catalogs)

• Experience in Cloud Data Platforms:

  (AWS Redshift, Azure Synapse, Google BigQuery)

• Experience in Performance Optimization:

  (Indexing, Partitioning, Query Tuning)

• Experience in Data Quality & Validation:

  (Data Profiling, Data Cleansing, Referential Integrity)

• Experience in Automation & Scripting:

  (SQL Procedures, Python, Shell)

• Certifications (Preferred):

  (CDMP, DAMA, AWS/Azure/GCP Data Specialty)

Keywords for Data Architect : Data Architect

1. Data Architecture

2. Enterprise Data Strategy

3. Data Modeling (Conceptual, Logical, Physical)

4. Cloud Data Platforms (AWS, Azure, GCP)

5. Data Warehousing

6. ETL/ELT Frameworks

7. Big Data Technologies (Hadoop, Spark)

8. Data Governance & Compliance

9. Performance Optimization

10. Metadata Management

# Data Architect

Keywords for Data Architect : Data Architect

1. Data Modeling (ER Diagrams, Dimensional Modeling)

2. Star/Snowflake Schema

3. Data Modeling Tools (ERwin, PowerDesigner)

4. Relational & NoSQL Databases

5. Data Warehousing Concepts

6. Data Quality & Validation

7. Metadata Management

8. Data Governance Frameworks

9. SQL & Scripting

10. Cloud Data Platforms (BigQuery, Redshift, Synapse)

# Data Modeling

Best Regards,

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