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Data Architect

1 week ago

Bengaluru, India Aptus Data Labs Full time
Job Description

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.).

·         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.).

·         Hands-on experience 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.).

·         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).

·         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.

                •              Flexible work environment with growth opportunities.

                •              Access to professional development and learning resources.



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.). · 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.). · Hands-on experience 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.). · 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). · Familiarity with machine learning and AI-driven data architectures. · Knowledge of CI/CD and DevOps for data workflows.