Technical Architect

Job Description

10+ years of experience in data architecture with a strong foundation in atleast one on-premiese ETL tool and Cloud based ETL tools - Must have played Data architect role for at least 4+ years - Hands-on experience with Informatica, Datastage, SSIS, Talend - Hands-on experience with Azure ADF or Databricks, PySpark, and Python. - Minimum of 4 years of hands-on expertise in Spark, including Spark job performance optimization techniques. - Minimum of 6 years of hands-on involvement with Azure Cloud - Hands on experience in Azure Batch, Azure Function, Storage account, KeyVault, Snowflake/Synapse, SQLMI, Azure Monitor - Practical hands-on experience with the following areas of DW/BI: BI, Data Quality, Master & Metadata Management, Data Governance, Big Data, Performance Tuning, infrastructure aspects. - Proficiency in crafting high-level designs for data warehousing solutions on Azure cloud. - Proven track record of implementing big-data solutions within the Azure ecosystem including Data Lakes. - Familiarity with data warehousing, data quality assurance, and monitoring practices. - Demonstrated capability in constructing scalable data pipelines and ETL processes. - Proficiency in testing methodologies and validating data pipelines. - Experience with or working knowledge of DevOps environments. - Practical experience in Data security services. - Understanding of data modeling, integration, and design principles. - Strong communication and analytical skills. - A dedicated team player with a goal-oriented mindset, committed to delivering quality work with attention to detail.