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Enterprise Data Architect Job Opening In vapi – Now Hiring DBiz.ai


Job description

The Enterprise Data Architect/Data Modeler is a senior technical leader responsible for defining, designing and governing the organization’s enterprise data architecture.

You will ensure that data is modeled, structured and integrated across the organization to support analytics and AI/ML initiatives at scale.

You will work closely with business stakeholders and technology teams to translate data requirements into robust logical and physical data models and establish enterprise-wide data standards that ensures consistency, quality and security across the group.

Roles & Responsibilities

  • Design and implement enterprise data models (conceptual, logical and physical) to support analytical, transactional and AI/ML workloads.

  • Define and maintain data architecture standards, modeling conventions, integration patterns and best practices across the group.

  • Lead the design and optimization of data warehouse and data lake architectures.

  • Model and manage structured, semi-structured and unstructured data using relational and NoSQL databases .

  • Develop data integration strategies (ETL/ELT ) and partner with data engineering teams to build reliable pipelines.

  • Optimize database design for performance , partitioning, indexing, and query efficiency.

  • Partner with data governance , security and compliance teams to implement data security, privacy, lineage, cataloging and access control frameworks.

  • Collaborate with data scientists, BI developers and data engineers to ensure architecture enables advanced analytics, AI/ML pipelines and self-service BI.

Qualifications, Experience, and Skills

QUALIFICATIONS

  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field.

  • Master’s degree and certifications in cloud data architecture (AWS, Azure, GCP) or enterprise architecture frameworks (TOGAF, DAMA-DMBOK) are a plus.

EXPERIENCE

  • 7+ years of progressive experience in data architecture, data engineering or database design.

  • Proven experience designing enterprise-scale data models and leading architecture design.

  • Hands-on expertise with relational databases (PostgreSQL, MySQL, SQL Server, Oracle) and NoSQL technologies (MongoDB, Cassandra, DynamoDB, Cosmos DB).

  • Exposure to graph databases (Neo4j, Amazon Neptune) is a plus.

  • Experience with cloud data platforms such as Snowflake, BigQuery, Redshift or Azure Synapse.

  • Experience with ETL/ELT tools such as Informatica, Talend, dbt or Apache NiFi.
  • Experience designing real-time streaming pipelines with Kafka, Spark Streaming or Flink.

TECHNICAL AND INTERPERSONAL SKILLS

  • Expert in data modeling tools (Erwin, ER/Studio, SQL Power Architect).

  • Advanced SQL skills for schema design, optimization and performance tuning.

  • Proficiency in Python or Scala for scripting and pipeline prototyping .

  • Knowledge of orchestration frameworks (Apache Airflow, Luigi, Prefect).

  • Familiarity with containerization (Docker, Kubernetes) and DevOps & CI/CD practices.

  • Understanding of data governance, security and compliance frameworks.

Required Skill Profession

Other General


  • Job Details

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Unlock Your Enterprise Data Potential: Insight & Career Growth Guide


Real-time Enterprise Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Enterprise Data in vapi, India, highlighting market share and opportunities for professionals in Enterprise Data roles.

147226 Jobs in India
147226
808 Jobs in Vapi
808
Download Enterprise Data Jobs Trends in Vapi and India

Are You Looking for Enterprise Data Architect Job?

Great news! is currently hiring and seeking a Enterprise Data Architect to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at DBiz.ai adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Enterprise Data Architect Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in vapi. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Enterprise Data Architect?

Key qualifications for Enterprise Data Architect typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Enterprise Data Architect?

To improve your chances of getting hired for Enterprise Data Architect, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Enterprise Data Architect Job Success

DBiz.ai interview tips for Enterprise Data Architect

Here are some tips to help you prepare for and ace your Enterprise Data Architect job interview:

Before the Interview:

Research: Learn about the DBiz.ai's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Enterprise Data Architect interview at DBiz.ai, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the DBiz.ai's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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