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59 Data Economy Jobs

Data Governance Architect

11-16 years

Hyderabad / Secunderabad, Pune

1 vacancy

Data Governance Architect

Data Economy

posted 1mon ago

Job Description

We are seeking a highly skilled and experienced Senior Data Architect to join our dynamic team. As a Senior Data Architect, you will be responsible for designing, developing, and implementing robust data solutions that support our business objectives.
 
Key Responsibilities:

Data Architecture Design:

Develop and maintain the enterprise data architecture, including data lakes, data warehouses, and data marts.

Design and implement data models (dimensional and data vault) to support business intelligence and analytics.

Define data standards, policies, and procedures to ensure data quality and consistency.

Data Governance:

Establish and enforce data governance policies and procedures to ensure data security, privacy, and compliance.

Collaborate with business and technical stakeholders to identify data requirements and prioritize data initiatives.

Implement data quality processes to monitor and improve data accuracy and completeness.

Data Engineering:

Design and implement data pipelines using ETL/ELT tools to extract, transform, and load data from various sources.

Optimize data pipelines for performance and scalability.

Collaborate with data engineers to ensure efficient data ingestion and processing.

Cloud Technologies:

Leverage cloud platforms (AWS, Azure, GCP) to build scalable and cost-effective data solutions.

Implement cloud-native data technologies and services to modernize the data infrastructure.

Data Visualization and Analytics:

Collaborate with data analysts and business users to visualize data insights and drive decision-making.

Implement data visualization tools (Tableau, Power BI, Looker) to create interactive dashboards and reports.

Qualifications:

11-16 years of experience as a data governance architect or similar role.

Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Strong understanding of data warehousing, data modeling, and data integration concepts.

Proficiency in SQL, Python, and scripting languages.

Experience with cloud platforms (AWS, Azure, GCP) and data warehousing tools (Redshift, Snowflake, BigQuery).

Knowledge of data governance frameworks and data quality best practices.

Strong analytical and problem-solving skills.

Excellent communication and collaboration skills.

Benefits

Opportunity to work on cutting-edge technologies

A collaborative and innovative work environment

Opportunities for professional growth and development


Employment Type: Full Time, Permanent

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Flexible timing
Monday to Friday
No travel
Day Shift
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Data Economy Benefits

Work From Home
Soft Skill Training
Health Insurance
Cafeteria
Education Assistance
Gymnasium +6 more
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