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 designStrong leadership skills with experience mentoring junior team membersExcellent communication and interpersonal skillsProven expertise in designing and implementing ETL and data integration solutionsHands-on experience with data warehouse platforms such as Snowflake, Amazon Redshift, Google BigQueryExperience with programming languages including Python, Scala, R, PHP, Golang, .NET, C#, Shell Scripting, NodeJSExpertise in cloud data platforms (CDP), Data Lake / Delta Lake, Databricks / Spark, Snowflake, Hadoop, Kafka, Cassandra, MongoDB, Azure SQL, Redshift, Oracle, MySQLProficiency with Power Query, Power Pivot, PySpark, and Microsoft FabricFamiliarity with containerization and orchestration technologies : Docker, KubernetesKnowledge of DevOps tools : Git, Ansible, Jenkins, ChefExperience 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 projectsSkills Required
Data Architecture, Data Modeling, Etl, Data Integration, snowflake , Redshift, BigQuery, Python