Data Architect Full Time Role

Job Title: Data Architect Full Time Role

Location: Remote USA
Experience Required: 12+ years
Type: Full Time Role (NO C2C/W2/C2H/1099)

Work Authorization: This role is not eligible for company sponsorship now or in future

About the Role

We are seeking a highly skilled and experienced Data Architect to join our team. The ideal candidate will bring deep expertise in Enterprise Data Management, modern data architectures, and cloud-based solutions, with a proven ability to design, lead, and implement large-scale BI/DW and data modernization projects. This role requires strong technical acumen, leadership capabilities, and the ability to translate complex data needs into scalable, efficient, and future-ready architectures.

Key Responsibilities

• Design, develop, and maintain scalable data architectures and frameworks supporting enterprise data management and analytics initiatives.
• Lead end-to-end data solution design including data modeling, integration, governance, quality, and master data management.
• Architect solutions leveraging modern data platforms (e.g., AWS, Azure, Google Cloud Platform, Snowflake, Redshift, Synapse, etc.).
• Partner with stakeholders to understand business requirements and translate them into technical designs and implementation roadmaps.
• Oversee data ingestion, transformation, and orchestration processes using ETL/ELT, CDC, and modern data pipeline automation techniques.
• Implement and optimize Big Data and Cloud solutions using tools such as Hadoop, Spark, Kafka, Hive, Impala, and HBase.
• Ensure architectural compliance with data governance, security, and best practices.
• Collaborate with cross-functional teams, including onshore and offshore teams, to deliver robust and high-performing data solutions.
• Drive continuous improvement by identifying architectural gaps and proposing enhancements.
• Stay abreast of emerging technologies and trends in data management, architecture, and analytics.

Required Education & Experience

• Bachelor's Degree (or equivalent experience) in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of experience in BI/DW and Enterprise Data Management implementations.
• 3+ years in technical or solution architecture roles.
• 3+ years of consulting experience.
• 2+ years working with offshore teams.
• 2+ years in modern data architecture (Big Data, Cloud, Open-source).
• Hands-on experience in at least three of the following areas:
  • Data Integration
  • Data Modeling
  • Big Data
  • Business Intelligence & Analytics
  • Data Governance & Quality / Master Data Management
  • Cloud Platform Architecture
• Strong proficiency in at least one programming or scripting language (e.g., Python, Java, Scala, SQL).
• Deep understanding of API constructs (RESTful interfaces).
• Expertise in various Data Architecture models Dimensional, ODS, Data Vault, and Normalized.
• Proficiency with Big Data storage formats (Avro, Parquet) and distributed systems (HBase, Hive, Impala, Cassandra, MongoDB).
• Experience with Hadoop security tools (Ranger, Sentry).
• Knowledge of cloud automation, infrastructure provisioning, and CI/CD data pipeline strategies.
• Familiarity with data modeling tools and major database platforms (RDS, Snowflake, Synapse, Redshift).
• Understanding of streaming/messaging technologies and data orchestration tools.

Knowledge, Skills & Abilities

• Strong analytical and problem-solving skills with the ability to work independently and collaboratively.
• Excellent communication and presentation skills for both technical and non-technical audiences.
• Demonstrated ability to lead cross-functional technical teams and mentor junior staff.
• Ability to evaluate existing architectures, identify improvement areas, and propose actionable solutions.
• Quick learner with the ability to research and adapt to new technologies.
• Strong organizational skills with attention to detail in a fast-paced, agile environment.
• Knowledge of Enterprise Architecture frameworks is a plus.