Data Architect

7 days ago

Bengaluru, India Talpro Full time

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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