Cloud-Driven Big Data Architect

Jobsbridge; Boston (MA); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading data solutions firm located in Boston seeks a skilled data architect to develop their Big Data & Analytics Platform. The ideal candidate has 8-10 years of experience, expert knowledge in Hadoop and cloud-based infrastructures, and a strong foundation in programming languages. Responsibilities include designing data architectures, managing Hadoop solutions, ensuring data security, and leading data governance efforts. This role demands a results-driven, customer-focused individual ready to make a significant impact in data management.

Qualifications

• Minimum of 8-10 years’ experience in information management.
• Deep expertise in dealing with clean and unstructured data.

Responsibilities

• Develop architecture for the Big Data & Analytics Platform.
• Define analytic architecture leveraging the Big Data Platform.
• Participate in end-to-end delivery of business use-cases.
• Design and build efficient Big Data applications.
• Architect data security, compliance, and privacy methodologies.

Skills

Expertise with various data types

Cloudera Hadoop Administration

Cloud infrastructure (AWS, Google, Azure)

Hadoop solution lifecycle management

Programming languages (Java, Python, R)

SQL proficiency

ETL tools experience (Informatica, Talend)

Familiarity with big data technologies (Hadoop, Spark)

Education

BS in Computer Science or similar field

Tools

Tableau

Job description

A leading data solutions firm located in Boston seeks a skilled data architect to develop their Big Data & Analytics Platform. The ideal candidate has 8-10 years of experience, expert knowledge in Hadoop and cloud-based infrastructures, and a strong foundation in programming languages. Responsibilities include designing data architectures, managing Hadoop solutions, ensuring data security, and leading data governance efforts. This role demands a results-driven, customer-focused individual ready to make a significant impact in data management.