AWS Data Architect || Remote

Hello,

My name is Divya Pandey. and I am a Staffing Specialist at Resource Logistics. I am reaching out to you on an exciting job opportunity with one of our clients

COMPLETE JOB DESCRIPTION IS BELOW FOR YOUR REVIEW:

Job Title: AWS Data Architect

Location: Remote

Hire Type: Contract 

Key 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.

Qualifications

•            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 (ARM) or Terraform

Preferred Qualifications:

•            Experience in the healthcare industry, preferably focusing on clinical and billing data.

•            Certification in AWS Cloud and Azure Cloud is highly preferred.

Thanks & Regards,

Divya Pandey, Technical Recruiter

Email: Divya@resource-logistics.com

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