Data Architect

1 day ago

Bengaluru Karnataka, India Aptus Data LAbs Full time

**Job Information**:
Number of Positions
- 1

Date Opened
- 03/07/2025

Job Type
- Full time

Industry
- Technology

Work Experience
- 5-8 years

Last Activity Time
- 03/07/2025 16:57

City
- Bangalore North

State/Province
- Karnataka

Country
- India

Zip/Postal Code
- 560002

**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.

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