BI/Data Architect

Siri InfoSolutions Inc

Marlborough, MA, United States

21 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

$120,000.0 - $150,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Artificial Intelligence Data Analysis Microsoft Azure BigQuery Cloud Computing Data Architecture Data Infrastructure Extract Transform Load (ETL) Data Mining Data Warehousing Data Flow Control Cloudera

+6 more

Data Ingestion System Availability Snowflake Data Management Data Lakehouse Data Pipelines

Job description

Define strategy for Lakehouse architecture
Foundational data analysis activities for Data Platform and data ingestion patterns
Architect will more closely with various TJX teams and primarily looks after below scope
Lakehouse and other foundational data activities.
Analyze and assess current landscape of various TJX data platforms and tools used
Define strategy for Lakehouse architecture, data ingestion patterns considering a lake house sets, which would be the foundation for more advanced analytics, including AI and machine learning functionalities
Assist in defining single unified version of data from multiple sources
Define strategy for advance analytics leveraging real time streaming, data availability at single place and assist in accelerated innovation and near real time analytics
Collaborate with cross-functional teams to understand Lakehouse needs and deliver solutions patterns

Requirements

8-10 years of in-depth, hands-on knowledge and execution of foundational data architectures such as data warehouses, data modeling, data mining, ETL, and in-memory models.
Proficient knowledge in modern data architecture supports advanced analytics including GCP Dataproc, dataflow, Cloud Function, BigQuery, Composer, GKE, IA, Snowflake, Azure, etc.
Good understanding of Data Lakehouse setup, Snowflake
Knowledge in Marketing tech stack
Architecting, Designing, developing, and testing of data ingestion pipelines, perform end to end automation of ETL process for various datasets that are being ingested into the big data platform.

Benefits & conditions

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.