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Data Management Architect Job Opening In Hyderabad – Now Hiring Tiger Analytics


Job description

About the Company - Tiger Analytics is a global AI and analytics consulting firm.

With data and technology at the core of our solutions, our 2800+ tribe is solving problems that eventually impact the lives of millions globally.

Our culture is modeled around expertise and respect with a team-first mindset.

Headquartered in Silicon Valley, youʼll find our delivery centers across the globe and offices in multiple cities across India, the US, the UK, Canada, and Singapore, including a substantial remote global workforce.

Weʼre Great Place to Work-Certified™.


About the Role - As a Principal Architect, you will work to solve some of the most complex and captivating data management problems that would enable them as a data-driven organization;
Seamlessly switch between roles of an Individual Contributor, team member, and an Architect as demanded by each project to define, design, and deliver actionable insights.

On a typical day, you might Understand the Business Requirements and translate business requirements into conceptual, logical and physical Data models.


Responsibilities

  • Work as a principal advisor on data architecture, across various data requirements, aggregation – data lake – data models – data warehouse etc.
  • Lead cross-functional teams, define data strategies, and leverage the latest technologies in data handling.

    Define and govern data architecture principles, standards, and best practices to ensure consistency, scalability, and security of data assets across projects.
  • Suggest best modelling approach to the client based on their requirement and target architecture.

    Analyze and understand the Datasets and guide the team in creating Source to Target Mapping and Data Dictionaries, capturing all relevant details.
  • Profile the Data sets to generate relevant insights.

    Optimize the Data Models and work with the Data Engineers to define the Ingestion logic, ingestion frequency and data consumption patterns.
  • Establish data governance practices, including data quality, metadata management, and data lineage, to ensure data accuracy, reliability, and compliance.
  • Drives automation in modeling activities Collaborate with Business Stakeholders, Data Owners, Business Analysts, Architects to design and develop next generation data platform.
  • Closely monitor the Project progress and provide regular updates to the leadership teams on the milestones, impediments etc.
  • Guide /mentor team members, and review artifacts.
  • Contribute to the overall data strategy and roadmaps.
  • Propose and execute technical assessments, proofs of concept to promote innovation in the data space.


Required Skills

  • Minimum 16 years of experience Deep understanding of data architecture principles, data modelling, data integration, data governance, and data management technologies.
  • Experience in Data strategies and developing logical and physical data models on RDBMS, NoSQL, and Cloud native databases.
  • Decent experience in one or more RDBMS systems (such as Oracle, DB2, SQL Server)
  • Good understanding of Relational, Dimensional, Data Vault Modelling.
  • Experience in implementing 2 or more data models in a database with data security and access controls.
  • Good experience in OLTP and OLAP systems
  • Excellent Data Analysis skills with demonstrable knowledge on standard datasets and sources.
  • Good Experience on one or more Cloud DW (e.G. Snowflake, Redshift, Synapse)
  • Experience on one or more cloud platforms (e.G. AWS, Azure, GCP)
  • Understanding of DevOps processes
  • Hands-on experience in one or more Data Modelling Tools
  • Good understanding of one or more ETL tool and data ingestion frameworks
  • Understanding of Data Quality and Data Governance
  • Good understanding of NoSQL Database and modeling techniques
  • Good understanding of one or more Business Domains
  • Understanding of Big Data ecosystem
  • Understanding of Industry Data Models
  • Hands-on experience in Python
  • Experience in leading the large and complex teams
  • Good understanding of agile methodology

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Management Potential: Insight & Career Growth Guide


Real-time Data Management 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 Data Management in Hyderabad, India, highlighting market share and opportunities for professionals in Data Management roles.

187546 Jobs in India
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8130 Jobs in Hyderabad
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Download Data Management Jobs Trends in Hyderabad and India

Are You Looking for Data Management Architect Job?

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

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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 Tiger Analytics 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 Data Management Architect Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Hyderabad. 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 Data Management Architect?

Key qualifications for Data Management Architect typically include Computer Occupations 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.

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Interview Tips for Data Management Architect Job Success

Tiger Analytics interview tips for Data Management Architect

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

Before the Interview:

Research: Learn about the Tiger Analytics'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 Data Management Architect interview at Tiger Analytics, 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 Tiger Analytics'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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