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Data Solution Architect

Data Solution Architect

ConfidentialBengaluru / Bangalore
9 days ago
Job description

Key Responsibilities :

  • Develop and maintain the overall data architecture strategy aligned with business goals and industry best practices
  • Design and implement scalable, high-performance data models, data warehouses, and data integration solutions
  • Collaborate with business stakeholders to gather data requirements and translate them into effective solutions
  • Create and manage ETL pipelines for data movement and transformation across systems
  • Conduct performance tuning, optimization, and troubleshooting of data systems
  • Ensure data security, integrity, and compliance with regulatory standards
  • Provide technical leadership and mentorship to data engineers and analysts
  • Evaluate and recommend modern tools and technologies to strengthen the organization's data capabilities
  • Work with cross-functional teams including developers, analysts, and project managers to deliver integrated solutions
  • Leverage expertise in cloud and digital transformation, data management, integration, analytics, and security

Required Skill Set and Qualifications :

  • 8 to 10 years of experience in data architecture, data modeling, and database design
  • Strong leadership skills with experience mentoring junior team members
  • Excellent communication and interpersonal skills
  • Proven expertise in designing and implementing ETL and data integration solutions
  • Hands-on experience with data warehouse platforms such as Snowflake, Amazon Redshift, Google BigQuery
  • Experience with programming languages including Python, Scala, R, PHP, Golang, .NET, C#, Shell Scripting, NodeJS
  • Expertise in cloud data platforms (CDP), Data Lake / Delta Lake, Databricks / Spark, Snowflake, Hadoop, Kafka, Cassandra, MongoDB, Azure SQL, Redshift, Oracle, MySQL
  • Proficiency with Power Query, Power Pivot, PySpark, and Microsoft Fabric
  • Familiarity with containerization and orchestration technologies : Docker, Kubernetes
  • Knowledge of DevOps tools : Git, Ansible, Jenkins, Chef
  • Experience with public cloud platforms (AWS, Azure, GCP) and SaaS applications (ADO, Salesforce, Workday, SAP, etc.)
  • Ability to work in a fast-paced environment and manage multiple projects
  • Skills Required

    Data Architecture, Data Modeling, Etl, Data Integration, snowflake , Redshift, BigQuery, Python

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