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Data Architect - ETL / Data Warehousing

Data Architect - ETL / Data Warehousing

TalproBangalore
26 days ago
Job description

About the Role :

We are seeking an experienced Data Architect to design and oversee the architecture of our enterprise data ecosystem. This role requires a deep understanding of data modeling, data integration, and cloud-based data solutions. You will collaborate with business and technology teams to create scalable, secure, and high-performing data platforms that enable analytics, reporting, and advanced insights.

Key Responsibilities :

  • Design and implement enterprise-level data architecture strategies aligned with business needs.
  • Define and maintain data models (conceptual, logical, and physical) for transactional, analytical, and big data systems.
  • Lead the design of data pipelines, data lakes, and data warehouses ensuring scalability, performance, and cost optimization.
  • Establish data governance, quality, and security standards across the organization.
  • Collaborate with stakeholders to understand data requirements and translate them into architectural blueprints.
  • Evaluate and recommend tools, technologies, and cloud platforms (AWS, Azure, GCP, Snowflake, etc.) to optimize data solutions.
  • Guide ETL / ELT developers, data engineers, and BI teams in implementing best practices.
  • Monitor, troubleshoot, and optimize data systems for performance and reliability.
  • Act as a thought leader, mentoring team members and contributing to the companys overall data strategy.

Key Requirements :

  • Bachelors or Masters degree in Computer Science, Information Systems, or a related field.
  • 8+ years of experience in data engineering, data warehousing, or database development.
  • Proven experience in designing and implementing data architectures at scale.
  • Strong expertise in SQL, relational databases, and data modeling techniques (OLTP, OLAP, dimensional modeling).
  • Hands-on experience with ETL / ELT tools (Informatica, Talend, DataStage, SSIS, etc.).
  • Proficiency in cloud platforms (AWS Redshift, Azure Synapse, GCP BigQuery, Snowflake).
  • Solid understanding of data governance, MDM, metadata management, and security frameworks.
  • Strong analytical, problem-solving, and communication skills.
  • Good to Have :

  • Familiarity with big data technologies (Hadoop, Spark, Kafka).
  • Experience in NoSQL databases (MongoDB, Cassandra, etc.).
  • Exposure to machine learning data pipelines and real-time analytics.
  • Knowledge of DevOps, CI / CD, and infrastructure-as-code for data solutions.
  • (ref : hirist.tech)

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