Data Platform Architect

Headquarters: India URL: https://jobs.workable.com/company/u8TybTAE2YbYgRVFYov9t4/jobs-at-proarch ESSENTIAL JOB FUNCTIONS: • Lead the definition and evolution of the enterprise data platform strategy by developing, maintaining, and continuously evolving architecture standards, reference architectures, and design patterns aligned with business priorities, analytical

, and AI/ML enablement across data and ETL/ELT platforms. • Develop, maintain, and steward enterprise architecture artifacts and documentation—including current and target state designs, diagrams, standards, and decision records—ensuring accuracy, consistency, and accessibility within the architecture repository. • Evaluate, recommend, and govern the selection of data platforms and ETL/ELT tools, balancing scalability, performance, security, cost, and operational maturity while reducing unnecessary platform sprawl. • Review and guide data platform and pipeline designs to ensure consistency with enterprise standards, scalability requirements, and architectural best practices. • Provide technical leadership and guidance to data engineering teams, analytics teams, platform product owners to translate architecture standards into implementable solutions and influence technical direction across the organization. • Define architectural guardrails that ensure data platforms can scale reliably, meet performance expectations, and support high availability and disaster recovery requirements. • Establish architectural standards for platform operations, environment management, reliability, observability, deployment automation, and lifecycle management to ensure data platforms are production-ready and supportable. • Ensure data platform architectures incorporate security controls, data privacy requirements, and regulatory compliance (e.g., access controls, encryption, data lineage, and retention) by default. • Define and standardize ETL/ELT and data integration patterns, including batch, streaming, and event driven approaches, to support analytics, operational reporting, and downstream consumption. • Participate in enterprise architecture governance forums, providing clear architectural guidance and decision support for data platform and integration initiatives. • Incorporate financial discipline into platform architecture by guiding cost efficient design, platform right sizing, and lifecycle management in partnership with FinOps and platform teams. • Continuously assess emerging data platform and ETL technologies, recommending updates to standards and strategy as capabilities and business needs evolve. • Drive innovation in AI-powered data engineering workflows and automation. • Perform other duties as assigned. Bachelor’s degree in Information Technology, Data Science, Computer Science, or related field; or an equivalent combination of education and experience. • 7+ years in database engineering with 3+ years in database architecture design and support. Preferred Education, Additional Qualifications and Experience • Master’s degree in Information Technology, Data Science, Systems Engineering, or Computer Science • Familiarity with healthcare payer data domains such as claims, eligibility, provider, member, care management, utilization management, or regulatory reporting. • Experience designing API‑based data integration using Apigee • Integration with enterprise systems including Salesforce, FACETS, and ServiceNow Required Knowledge, Skills, and/or Abilities • Experience architecting enterprise data platforms across cloud environments (Azure, Google Cloud). • Deep knowledge of Snowflake as an enterprise data warehouse platform. • Hands-on familiarity with modern data platforms and services (e.g.

Azure Data Lake/ADLS, Fabric, Databricks, SQL Server, PostgreSQL, Oracle). • Hands‑on experience with ETL/ELT orchestration platforms (Matillion). • Strong hands‑on technical fluency with SQL and Python sufficient to prototype, review optimize, and guide engineering implementation of data pipelines and transformations. • Ability to design analytics‑ready datasets that support reporting, operational analytics, and AI/ML use cases. • Experience with data architecture patterns, including layered architectures (ingestion, transformation, repository, consumption). • Experience with data modeling, analytics platforms, and data governance concepts. • Ability to design data platforms with security controls by default, including access controls, encryption, data lineage, and retention. • Experience integrating internal and external data sources using secure, governed ingestion methods. • Ability to translate architectural standards into implementable solutions with engineering teams. • Experience enabling AI/ML workloads through scalable, well‑governed data platforms. • 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. • Ability to evaluate emerging data technologies and recommend adoption based on maturity, risk, and business value. • Communicate complex technical concepts to engineering with good diagramming hygiene for mutual understanding. • Proficient communication and presentation skills for inter-level audiences. • Comfortable in agile or waterfall methodologies. To apply: https://weworkremotely.com/remote-jobs/proarch-data-platform-architect