Data Platform Architect
New
P
ProArchHealthcare data
Workable workplace: remote; Workable locations: IndiaContractSenior
Salary not disclosed
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Job Details
- Experience
- 7+ years in database engineering with 3+ years in database architecture design and support.
- Required Skills
- PythonSQLGCPSnowflakeAzureData modelingDatabricks
Requirements
- Bachelor’s degree in Information Technology, Data Science, Computer Science, or a related field, or an equivalent combination of education and experience.
- 7+ years in database engineering, including 3+ years in database architecture design and support.
- Experience architecting enterprise data platforms across Azure and Google Cloud environments.
- Deep knowledge of Snowflake as an enterprise data warehouse platform.
- Hands-on familiarity with Azure Data Lake/ADLS, Fabric, Databricks, SQL Server, PostgreSQL, or Oracle.
- Hands-on experience with Matillion ETL/ELT orchestration.
- Strong technical fluency with SQL and Python for prototyping, reviewing, optimizing, and guiding data pipelines and transformations.
- Experience with data architecture patterns, data modeling, analytics platforms, and data governance.
- Ability to design analytics-ready datasets for reporting, operational analytics, and AI/ML use cases.
- Experience designing secure, governed integrations with internal and external data sources.
- Ability to design platform security controls, including access controls, encryption, data lineage, and retention.
- Familiarity with infrastructure-as-code concepts, automation, and CI/CD for data platforms.
- Understanding of observability, reliability, and operational readiness for data pipelines and platforms.
- Familiarity with healthcare payer data domains such as claims, eligibility, provider, member, care management, utilization management, or regulatory reporting.
- Comfort with agile or waterfall methodologies and communicating technical concepts using diagrams.
Responsibilities
- Lead the definition and evolution of enterprise data platform strategy, architecture standards, reference architectures, and design patterns.
- Develop and maintain architecture artifacts, diagrams, standards, and decision records in the architecture repository.
- Evaluate, recommend, and govern data platforms and ETL/ELT tools based on scalability, performance, security, cost, and operational maturity.
- Review and guide data platform and pipeline designs for alignment with enterprise standards and architectural best practices.
- Provide technical leadership to data engineering and analytics teams and platform product owners.
- Define architectural guardrails for scalability, reliability, performance, high availability, and disaster recovery.
- Establish standards for platform operations, observability, deployment automation, environment management, and lifecycle management.
- Ensure platform architectures incorporate security, privacy, and regulatory compliance controls.
- Standardize batch, streaming, and event-driven ETL/ELT and data integration patterns.
- Guide cost-efficient platform design and assess emerging data technologies and AI-powered data engineering workflows.
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