Data/Enterprise Architect

Job Description

As an Enterprise Data Architect at CitiusTech, you will play a crucial role in shaping healthcare possibilities by building scalable data architectures and driving digital innovation in the life sciences industry. Your responsibilities will include:- Building centralized, scalable data architectures such as Data Lakes, Lakehouse, and Data Warehouse.- Designing multi-layered architecture (bronze, silver, gold) in Snowflake with clear data lineage.- Developing and optimizing ETL/ELT processes for structured and unstructured data from various sources like SAP, Salesforce, SQL server, APIs, and other business applications.- Configuring mapping data flows and parameterization for dynamic pipeline design.- Implementing scalable data pipelines using Databricks Workflows and Spark.- Driving performance tuning and FinOps enablement for cost-efficient Spark workloads.- Implementing data governance frameworks to ensure compliance with regulations like HIPAA, GDPR, SOC 2, and maintaining security, lineage, and observability.- Guiding CI/CD implementation using Databricks features and data infrastructure automation with IaC tools like Terraform and CloudFormation.- Assisting in schema conversion and data transformation strategies for legacy systems.- Participating in code reviews to maintain quality, adherence to architectural standards, and ensure maintainability.- Collaborating with Project Managers and Leads to provide updates, flag risks, and ensure stakeholder alignment.- Collaborating with stakeholders to align business objectives with data strategies.Qualifications required for this role include:- Bachelors or Masters degree in Computer Science/Information Technology/Biomedical Engineering or a related field.- Proficiency in Azure Data Services, Data Architecture Design, Data Modelling, Medallion Architecture (Bronze, Silver, Gold), Data Governance & Security Compliance, Python & SQL Programming, ETL/ELT Pipeline Design, ETL tools like DBT, Matillion, Fivetran, Informatica, DataStage, Abinitio, SSIS, Data Warehousing, Cloud Platforms (Azure, AWS, GCP), DevOps & CI/CD.Your experience should ideally encompass:- Approximately 18 years of experience in data engineering and architecture, with expertise in cloud-based solutions.- Demonstrated success in designing and implementing scalable data platforms across Azure, AWS, and GCP.- Strong knowledge of data modeling, data warehousing, data governance, security compliance, and performance optimization.- Ability to lead teams, mentor engineers, and drive strategic data initiatives.- Familiarity with healthcare data standards and regulatory frameworks.- Databricks Certifications (Data Professional).- Evaluating and contributing to Data engineering proposals.At CitiusTech, we aim to combine IT services, consulting, products, accelerators, and frameworks with a client-first mindset and next-gen tech understanding to positively impact human lives in the healthcare industry. Join us in shaping the future of healthcare and making a meaningful difference. As an Enterprise Data Architect at CitiusTech, you will play a crucial role in shaping healthcare possibilities by building scalable data architectures and driving digital innovation in the life sciences industry. Your responsibilities will include:- Building centralized, scalable data architectures such as Data Lakes, Lakehouse, and Data Warehouse.- Designing multi-layered architecture (bronze, silver, gold) in Snowflake with clear data lineage.- Developing and optimizing ETL/ELT processes for structured and unstructured data from various sources like SAP, Salesforce, SQL server, APIs, and other business applications.- Configuring mapping data flows and parameterization for dynamic pipeline design.- Implementing scalable data pipelines using Databricks Workflows and Spark.- Driving performance tuning and FinOps enablement for cost-efficient Spark workloads.- Implementing data governance frameworks to ensure compliance with regulations like HIPAA, GDPR, SOC 2, and maintaining security, lineage, and observability.- Guiding CI/CD implementation using Databricks features and data infrastructure automation with IaC tools like Terraform and CloudFormation.- Assisting in schema conversion and data transformation strategies for legacy systems.- Participating in code reviews to maintain quality, adherence to architectural standards, and ensure maintainability.- Collaborating with Project Managers and Leads to provide updates, flag risks, and ensure stakeholder alignment.- Collaborating with stakeholders to align business objectives with data strategies.Qualifications required for this role include:- Bachelors or Masters degree in Computer Science/Information Technology/Biomedical Engineering or a related field.- Proficiency in Azure Data Services, Data Architecture Design, Data Modelling, Medallion Architecture (Bronze, Silver, Gold), Data Governance & Security Compliance, Python & S

Keyskills :
SilverGoldInformaticaDataStageAbinitioSSISData WarehousingAWSGCPAzure Data ServicesAzure DatabricksAzure Data Factory ADFData Architecture DesignData ModellingMedallion Architecture BronzeData GovernanceSecurity Compliance HIPAAGDPRSOC 2