Data Architect

Data Architect Location: Bangalore Job Type: Full Time

Experience

Level: Mid-Senior

About the Role

We are looking for an experienced Data Architect to design and implement scalable, high-performance data architectures. You will be responsible for defining data models, optimizing data flows, and ensuring data governance across the organization. This role requires a deep understanding of database design, cloud data platforms, and big data technologies to support analytics and business intelligence.

Key Responsibilities

• Design and implement scalable data architectures that meet business and technical requirements.
• Develop data models, schemas, and metadata management strategies for structured and unstructured data.
• Define and enforce data governance, security, and compliance best practices.
• Work closely with data engineers, data scientists, and business teams to ensure efficient data pipelines and workflows.
• Optimize data storage and retrieval strategies for performance and cost-effectiveness.
• Architect cloud-based and on-premise data solutions (AWS, Azure, Google Cloud, etc.).
• Implement data integration and ETL/ELT processes using modern data platforms.
• Evaluate and recommend data management technologies, tools, and frameworks.
• Ensure data quality and integrity through robust data validation, monitoring, and error-handling mechanisms.
• Support advanced analytics, AI/ML workloads, and real-time data processing initiatives.

Requirements

Required

Skills

&

Qualifications

• Bachelor’s/Master’s degree in Computer Science, Data Science, or a related field.
• Extensive

experience

with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra, etc.).

• with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra, etc.).
• Expertise in data modeling, data warehousing, and data lake architectures.
• Strong knowledge of big data technologies (Hadoop, Spark, Kafka, Snowflake, Redshift, BigQuery, etc.). ·

Experience

with ETL/ELT tools (Informatica, Talend, DBT, Apache Nifi, etc.).

• with ETL/ELT tools (Informatica, Talend, DBT, Apache Nifi, etc.).
• Hands-on

experience

with cloud data platforms (AWS, Azure, GCP) and their data services.

• with cloud data platforms (AWS, Azure, GCP) and their data services.
• Proficiency in SQL, Python, or Scala for data processing and scripting.
• Understanding of data security, privacy, and regulatory

requirements

(GDPR, HIPAA, CCPA, etc.).

• (GDPR, HIPAA, CCPA, etc.).
• Strong analytical, problem-solving, and leadership skills.
• Aware of Data Governance Preferred

Qualifications

• Certifications in cloud data services (AWS Certified Data Analytics, Google Professional Data Engineer, etc.). ·

Experience

with real-time data processing and streaming (Kafka, Flink, Spark Streaming).

• with real-time data processing and streaming (Kafka, Flink, Spark Streaming).
• Familiarity with machine learning and AI-driven data architectures.
• Knowledge of CI/CD and DevOps for data workflows.

Benefits

• Work with cutting-edge technologies and a talented team.
• Competitive salary and

benefits

package.

• package.
• Flexible work environment with growth opportunities.
• Access to professional development and learning resources.

.

Develop data models, schemas, and metadata management strategies for structured and unstructured data.

Define and enforce data governance, security, and compliance best practices.

Work closely with data engineers, data scientists, and business teams to ensure efficient data pipelines and workflows.

Optimize data storage and retrieval strategies for performance and cost-effectiveness.

Architect cloud-based and on-premise data solutions (AWS, Azure, Google Cloud, etc.).

Implement data integration and ETL/ELT processes using modern data platforms.

Evaluate and recommend data management technologies, tools, and frameworks.

Ensure data quality and integrity through robust data validation, monitoring, and error-handling mechanisms.

Support advanced analytics, AI/ML workloads, and real-time data processing initiatives.

Requirements

Required

Skills

&

Qualifications

• Bachelor’s/Master’s degree in Computer Science, Data Science, or a related field.
• Extensive

experience

with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra, etc.).

• with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra, etc.).
• Expertise in data modeling, data warehousing, and data lake architectures.
• Strong knowledge of big data technologies (Hadoop, Spark, Kafka, Snowflake, Redshift, BigQuery, etc.). ·

Experience

with ETL/ELT tools (Informatica, Talend, DBT, Apache Nifi, etc.).

• with ETL/ELT tools (Informatica, Talend, DBT, Apache Nifi, etc.).
• Hands-on

experience

with cloud data platforms (AWS, Azure, GCP) and their data services.

• with cloud data platforms (AWS, Azure, GCP) and their data services.
• Proficiency in S