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, GCP, 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 ModelingBig DataBusiness Intelligence & AnalyticsData Governance & Quality / Master Data ManagementCloud Platform ArchitectureStrong 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.