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3.7

based on 2.4k Reviews

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1 Zensar Technologies Data Architect Job

Data Architect

Zensar Technologies Limited

 · 

3.7

 based on 2.4k Reviews

9-12 years

Pune

Data Architect

Zensar Technologies

posted 13d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Engineering Python AWS Machine Learning ETL Testing Spark

+ 12 more

Job Description


 Key Responsibilities: 
  •  Platform Architecture Design :Lead the design and architecture of the digital platform , ensuring that the data infrastructure is scalable, secure, and reliable. Focus on utilizing AWS services  (e.g., S3 , Redshift , Glue , Lambda , Kinesis ) and Databricks  to build a robust, cloud-based data architecture.
  •  Data Integration & ETL Pipelines :Architect and implement ETL/ELT pipelines  to integrate data from multiple sources (e.g., transactional databases, third-party services, APIs) into the platform, using AWS Glue , Databricks , and other tools for efficient data processing.
  •  Cloud Strategy & Deployment :Implement cloud-native solutions, leveraging AWS tools and Databricks for data storage, real-time processing, machine learning, and analytics. Design the platform to be cost-efficient, highly available, and easily scalable.
  •  Data Modelling :Develop and maintain data models for the platform that support business intelligence, reporting, and analytics. Ensure the data model design aligns with business requirements and the overall architecture of the platform.
  •  Machine Learning & Analytics Enablement :Work with data scientists and analysts to ensure that the architecture supports advanced analytics and machine learning workflows, enabling faster time to insights and model deployment.
  •  Data Security & Governance :Implement data governance frameworks to ensure data privacy, compliance, and security in the digital platform. Use AWS security tools  and best practices to safeguard sensitive data and manage access control.
  •  Platform Performance & Optimization :Monitor and optimize platform performance, including the efficiency of data processing, data retrieval, and analytics workloads. Ensure low-latency and high-throughput data pipelines.
  •  Collaboration & Stakeholder Management :Collaborate closely with stakeholders across data engineering, data science, and business teams to align the platform architecture with business needs and evolving technological requirements.


    •  Skills & Qualifications:   Required: 
  •  Bachelor’s / Master’s degree in computer science , Engineering or a related field.
  •  10+ years  of experience in data architecture, data engineering, or a related field, with a strong background in designing scalable, cloud-based data platforms.
  • Extensive experience with AWS services  such as S3 , Redshift , Glue , Lambda , Kinesis , and RDS , with a deep understanding of cloud architecture patterns.
  • Strong proficiency in Databricks , including experience with Apache Spark ,  Delta Lake , and MLflow  for building data pipelines, managing large datasets, and supporting machine learning workflows.
  • Expertise in data modelling  techniques, including designing star/snowflake schemas, dimensional models, and ensuring data consistency and integrity across the platform.
  • Experience with ETL/ELT processes , integrating data from a variety of sources, and optimizing data flows for performance.
  • Proficiency in programming languages such as Python  and SQL  for data manipulation, automation, and data pipeline development.
  • Strong knowledge of data governance  and security practices, including data privacy regulations (GDPR, CCPA) and tools like AWS IAM , AWS KMS , and AWS CloudTrail .
  • Experience with CI/CD  pipelines and automation tools for deployment, testing, and monitoring of data architecture and pipelines.

    •  Preferred: 
  • Experience with real-time streaming  data solutions such as Apache Kafka  or AWS Kinesis  within the Databricks  environment.
  • Experience with data lake  management, particularly using AWS Lake Formation  and Databricks Delta Lake  for large-scale, efficient data storage and management.


    •  Soft Skills: 
  • Strong communication skills, with the ability to explain complex technical concepts to business leaders and stakeholders.
  • Excellent problem-solving skills with the ability to architect complex, scalable data solutions.
  • Leadership abilities with a proven track record of mentoring and guiding data teams.
  • Collaborative mindset, capable of working effectively with cross-functional teams, including engineering, data science, and business stakeholders.

    • Attention to detail, with a focus on building high-quality, reliable, and scalable data solutions.

    Employment Type: Full Time, Permanent

    Read full job description

    Prepare for Data Architect roles with real interview advice

    What Data Architect at Zensar Technologies are saying

    Data Architect salary at Zensar Technologies

    reported by 4 employees with 12-18 years exp.
    ₹28.8 L/yr - ₹36.2 L/yr
    7% more than the average Data Architect Salary in India
    View more details

    What Zensar Technologies employees are saying about work life

    based on 2.4k employees
    76%
    90%
    74%
    89%
    Flexible timing
    Monday to Friday
    No travel
    Day Shift
    View more insights

    Zensar Technologies Benefits

    Submitted by Company
    Work From Home
    Team Outings
    Health Insurance
    Vacation & Paid Time Off
    Sabbatical
    Maternity & Paternity Leave +1 more
    Submitted by Employees
    Work From Home
    Soft Skill Training
    Cafeteria
    Health Insurance
    Job Training
    Child care +6 more
    View more benefits

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    Zensar Technologies Pune Office Location

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    Plot #4, MIDC, Off Nagar Road, Zensar Knowledge Park, Kharadi, Pune, Maharashtra Pune
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    Data Architect

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