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Form of workJob Description:
Responsibilities:
Responsibilities:
- Architect and design data solutions that integrate enterprise, marketing, and streaming data, enabling advanced analytics, real-time insights, and personalized customer experiences.
- Design and implement a scalable data lake house using Snowflake Cloud, enabling efficient data storage, processing, and analytics across structured, semi-structured, and unstructured data sources.
- Develop data products, infrastructure and data pipelines leveraging Matillion, AWS services (such as Redshift, Kinesis, EMR, Lambda etc).
- Analyze and validate data to ensure high data quality for reliable insight.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Collaborate with cross-functional teams, including business stakeholders, data scientists, data engineers, and IT teams, to define data requirements, identify opportunities, and deliver high-quality data solutions.
- Participate in the definition of future data management architecture, with alignment to value creation opportunities across the business.
- Performing proof of concepts, object-oriented analysis/design, assessing new technologies, identifying data lineage, and performing complex data analysis and analytics.
- Communicate the companywide Architecture strategy and direction to both management and development teams.
- Stay current with new and emerging technologies and make recommendations on their adoption.
- Understand compliance and risk management requirements for supported areas.
- Design and implement data governance policies and procedures.
- Develop strategies for business intelligence, analytics, and enterprise reporting.
- Set design patterns for application integration, data governance, and analytics development.
- Provide enhancement and optimization with ETL/ELT process development and maintenance.
- Develop and implement data migration strategies.
- Develop and maintain data dictionaries, metadata repositories, and data lineage documentation.
- Stay up to date with emerging technologies and trends in Data Architecture.
- Proficiency in data formats such as JSON, HL7, EDI, and XML.
- Experience with API development and integration using tools such as MuleSoft and REST APIs.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills with both technical and non-technical stakeholders.
- Bachelor's or Master's degree in computer science, Information Systems, or a related field.
- Minimum of 8-10 years of experience in Data Architecture with a minimum of 3-5 years of experience in healthcare domain.
- Strong hands-on experience with Cloud databases such as Snowflake.
- Experience in designing OLAP and OLTP systems for efficient data analysis and processing.
- Familiarity with cloud-based data storage solutions like Amazon S3 or Google Cloud Storage.
- Experience with multiple full life-cycle data warehouse/transformation implementations in the public cloud (AWS, Azure, and GCP).
- Experience with data modeling, warehousing and building ETL pipelines.
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR.
- Experience with Data warehouse architecture and ETL integration (Snowflake, Postgres, Oracle, SQL Server, Matillion ETL).
- Deep understanding of Data Architectures that utilize Data Fabric, Data Mesh, and Data Products.
- Business & financial acumen to advise on product planning, conduct research & analysis, and identify the business value of new and emerging technologies.
- Strong SQL and database skills working with large structured and unstructured data.
- Strong familiarity with enterprise reporting solutions (AWS QuickSight, PowerBI, and Tableau), data virtualization, and semantic modeling.
- Expertise in solution development using No-SQL and SQL data platforms.
- System development lifecycle (SDLC), Agile Development, DevSecOps, and standard software development tools such as Git and Jira.
- Excellent written and oral communication skills to convey key choices, recommendations, and technology concepts to technical and non-technical audiences.
- Infrastructure as Code (IaC) technologies such as Azure Resource Manager (Client) or Terraform.
- Experience in the healthcare industry, preferably focusing on clinical and billing data.
- Certification in AWS Cloud and Azure Cloud is highly preferred.
