Data Platform Architect

This is a fully remote position, open to applicants in India.

📋 Description

• Oversee the establishment and ongoing development of the enterprise data platform strategy, architecture standards, reference architectures, and design patterns that are in line with business objectives, analytical needs, and AI/ML facilitation.

• Create, sustain, and manage enterprise architecture documentation and artifacts, including designs for current and target states, diagrams, standards, and decision records.

• Assess, recommend, and supervise data platforms and ETL/ELT tools based on criteria such as scalability, performance, security, cost, and operational maturity.

• Review and provide direction for data platform and pipeline designs to ensure alignment with enterprise standards, scalability, and architectural best practices.

• Offer technical leadership to data engineering teams, analytics teams, and platform product owners.

• Establish architectural guardrails to ensure scalability, performance, high availability, and disaster recovery.

• Set standards for platform operations, environment management, reliability, observability, deployment automation, and lifecycle management.

• Ensure that security controls, data privacy, and regulatory compliance are integrated into data platform architectures.

• Define and standardize patterns for batch, streaming, and event-driven ETL/ELT and data integration.

• Engage in enterprise architecture governance forums and provide architectural advice and decision support.

• Advise on cost-effective design, platform right-sizing, and lifecycle management alongside FinOps and platform teams.

• Evaluate new data platform and ETL technologies and suggest updates to standards and strategy.

• Lead innovation in AI-driven data engineering workflows and automation.

• Execute other assigned responsibilities.

⛳️ Requirements

• A Bachelor’s degree in Information Technology, Data Science, Computer Science, or a related field; or an equivalent combination of education and experience.

• 7+ years of experience in database engineering with at least 3 years in database architecture design and support.

• Familiarity with healthcare payer data domains such as claims, eligibility, provider, member, care management, utilization management, or regulatory reporting.

• Experience in designing API-based data integration utilizing Apigee.

• Integration experience with enterprise systems such as Salesforce, FACETS, and ServiceNow.

• Expertise in architecting enterprise data platforms across cloud environments (Azure, Google Cloud).

• Profound knowledge of Snowflake as an enterprise data warehouse platform.

• Practical experience 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 technical proficiency in SQL and Python to prototype, review, optimize, and guide engineering implementation of data pipelines and transformations.

• Capability 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).

• Familiarity with data modeling, analytics platforms, and data governance concepts.

• Ability to design data platforms with built-in security controls, including access controls, encryption, data lineage, and retention.

• Experience in integrating both internal and external data sources via secure, governed ingestion methods.

• Ability to translate architectural standards into actionable solutions with engineering teams.

• Experience in enabling AI/ML workloads through scalable, well-governed data platforms.

• Understanding of infrastructure-as-code concepts, automation, and CI/CD practices for data platforms.

• Knowledge of observability, reliability, and operational readiness pertaining to data pipelines and platforms.

• Ability to assess emerging data technologies and recommend adoption based on maturity, risk, and business value.

• Skill in communicating complex technical concepts to engineering teams with effective diagramming for clarity.

• Strong communication and presentation skills suitable for diverse audiences.

• Comfortable working within agile or waterfall methodologies.

🏝️ Benefits

• Competitive salary and comprehensive benefits package.

• Opportunities for professional development and career advancement.

• Flexible work arrangements to promote work-life balance.

• Collaborative and innovative work environment.

• Access to cutting-edge technologies and tools.