Data Architect (Hybrid Onsite & In-Person Interview required)

Job Title : Data Architect

Location: Quincy, MA (3-4 days a week Hybrid onsite)

Duration : Long Term

Interview: In Person

Job Description:

Key Responsibilities

• Lead data architecture design for enterprise-scale applications, ensuring alignment with business objectives, technical standards, and cloud strategy.
• Collaborate with application, platform, and infrastructure teams to integrate data solutions across AWS cloud and on-prem environments.
• Define logical and physical data models, data flows, and integration patterns supporting batch, streaming, APIs, and microservices architectures.
• Architect and govern cloud-native data platforms using AWS services and Databricks for analytics, reporting, and AI/ML enablement.
• Ensure data governance, security, privacy, and regulatory compliance (e.g., SOX, PCI, GDPR where applicable) are embedded into the architecture by design.
• Partner closely with client stakeholders to assess the current-state data landscape and propose scalable, resilient, and cost-effective target architectures.
• Guide implementation teams on architectural best practices, performance optimization, and cloud cost management.

Required Skills & Experience:

• 8+ years of experience in data architecture or data engineering lead roles.
• Strong expertise in AWS cloud data services, including (but not limited to):
• S3, Glue, Lake Formation
• Redshift, Athena
• Kinesis, MSK, Lambda, Step Functions
• Hands-on experience designing and implementing Databricks Lakehouse architectures (Delta Lake, Spark, structured streaming, Unity Catalog preferred).
• Deep understanding of data lakes, data warehousing, and modern analytics architectures.
• Proficiency with data modeling tools and techniques (ER/Studio, dbt, dimensional & domain-driven modeling).
• Strong experience building ETL/ELT pipelines, integrating data via APIs, event-driven patterns, and microservices.
• Experience working in hybrid architectures (cloud + on-prem).