Data Architect

VME Vhire Solutions; Bengaluru, Thiruvananthapuram; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

VME Vhire Solutions is seeking a seasoned Data Architect to design and govern scalable data platforms for a global client. The role requires deep hands-on experience with data modeling, warehousing, lakes, and integrations across cloud and on-premises environments.

You will mentor engineers, promote Agile practices, and drive data governance and security standards while collaborating with cross-functional teams to deliver impactful analytics and data products.

Qualifications

• 12+ years of experience in data architecture or data engineering.
• Proven ability to design and implement large-scale, complex data solutions.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Programming experience in Python, Java, or Scala.
• Knowledge of Hadoop, Spark, Snowflake, Databricks, Kafka.

Responsibilities

• Design scalable, secure data solutions across cloud, on-premise, and hybrid environments.
• Develop data models, warehouses, lakes, and marts for analytics and reporting.
• Architect data integration pipelines (ETL/ELT) across systems.
• Mentor senior engineers and promote Agile practices.
• Collaborate with development teams to align data designs with applications.
• Ensure data quality, governance, and regulatory compliance.

Skills

Data architecture

Data engineering

Python/Java/Scala

Big data tech

Relational DBs

NoSQL databases

Cloud data platforms

Data modeling

Data warehousing

Data integration

API design & microservices

CI/CD & DevOps

Analytics & ML concepts

Communication with stakeholders

Agile methodologies

Education

Bachelor's or Master's in Computer Science / IT / Engineering

BCA / MCA

Tools

Tableau

Power BI

QlikView

Job description

Hiring for an MNC Client!!

• Job Type: Fulltime, Permanent
• Role Name: Data Architect
• Experience Required: 12+ years
• Client Location: Bangalore/Trivandrum

Mandatory Skills: 5 years of experience in data architecture, data engineering, or a similar role.

• Proven experience in designing and implementing large-scale, complex data solutions in one or more domains.
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.

Key Responsibilities:

• Design and implement scalable, robust, and secure data solutions across various platforms (e.g., cloud, on-premise, hybrid).
• Define, Design and Develop conceptual, logical, and physical data models which are optimized for performance, scalability, and maintainability.
• Collaborate with application development teams to ensure data designs are aligned with application requirements.
• Develop and maintain data models, data warehouses, data lakes and data marts to support data analysis and reporting.
• Architect and design robust data integration solutions (ETL/ELT) for moving data between various systems and applications.
• Create data pipelines for more efficient and repeatable data science projects.
• Develop and maintain a deep understanding of data platforms, technologies, and tools, and evaluate new technologies and solutions to improve data management processes.
• Develop and maintain data models, data warehouses, data lakes and data marts to support data analysis and reporting.
• Ensure data quality, accuracy, and consistency across all data sources.
• Establish and enforce data governance policies, procedures, and standards to ensure data accuracy, consistency, and compliance.
• Ensure compliance with regulatory and industry standards for data management and security.
• Identify and mitigate technical risks, ensuring the stability and integrity of our digital systems.
• Mentor and coach senior engineers, fostering their technical growth and leadership capabilities.
• Champion Agile principles and practices at an organizational level, promoting cross-functional collaboration and continuous improvement.
• Stay abreast of industry trends, emerging technologies, and competitive landscapes to inform strategic architectural decisions.
• Lead proof-of-concepts and pilot projects for new technologies and architectural approaches.

Required Skills & Experience:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• 5 years of experience in data architecture, data engineering, or a similar role.
• Proven experience in designing and implementing large-scale, complex data solutions in one or more domains.
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
• Familiarity with programming languages such as Python, Java, or Scala.
• Knowledge of big data technologies such as Hadoop, Spark, snowflake, databricks, and Kafka to process and analyze large volumes of data.
• Skilled in using relational database technologies such as MySQL, PostgreSQL, and Oracle, as well as NoSQL databases such as MongoDB and Cassandra.
• Strong expertise in cloud-based databases such as AWS 3/ AWS glue, AWS Redshift, Iceberg/parquet file format.
• Experience with data visualization tools such as Tableau, Power BI, or QlikView.
• Understanding of analytics and machine learning concepts and tools.
• Strong data modeling, data warehousing, and data integration skills.
• Knowledge of data governance, data quality, and data security best practices
• Experience with API design and microservices architecture.
• Experience defining and implementing CI/CD pipelines, DevOps practices, and automated testing frameworks.
• Expertise in performance optimization, scalability, and security best practices.
• Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.
• Strong strategic thinking and problem-solving skills, with a track record of delivering innovative solutions.
• Deep understanding of Agile methodologies and experience driving their adoption at an organizational level.

Qualifications:

• Bachelors degree (or equivalent) in computer science, information technology, or engieering, BCA/MCA