Data Architect

Tata Consultancy Services Limited
Framingham, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 130K

Job location

Framingham, United States of America

Tech stack

Java
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Google BigQuery
Cloud Computing
Cloud Database
Computer Security
Databases
Customer Data Management
Data Architecture
Data Governance
ETL
Data Mart
Data Security
Data Systems
Data Warehousing
Database Analysis
Hadoop Distributed File System
Hive
Python
NoSQL
Power BI
Cloudera
Scala
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Snowflake
Spark
Electronic Medical Records
Data Lake
Data Analytics
Kafka
Cloud Migration
Looker Analytics
Databricks

Job description

Languages - Java, Python, Scala AWS - S3, EMR, Glue, Redshift, Athena, Lamda Azure - Blob, ADLS, ADF, Synapse, PowerBI Google Cloud - Bigquery, DataProc, Looker Snowflake Databricks CDH - Hive, Spark, HDFS, Kafka CDH etc. ETL - Informatica/DBT/Mattilion,

Roles & Responsibilities:

Architect and Design Sales and Marketing data initiatives, demonstrate data architectural knowledge, customer management and innovation

Delivery of customer Cloud data Strategies for Marketing, aligned with customers business objectives and with a focus on Cloud Migrations

Provide leadership in platform migration methodologies and techniques including governance frameworks, guidelines, and best practices.

Build point of views, thought leadership, solutions for proposals, competency development and mentoring etc.

Solution Design experience on Data Lake, Data Warehouse, BI, Data Mart and Analytics systems

Delivery of customer Cloud Strategies, aligned with customers business objectives and with a focus on Cloud Migration.

Requirements

At least 3-year experience as architect for large scale cloud data projects involving minimum 3 technological tracks as mentioned above in hyper scaler platforms.

Minimum 6 years expertise in data and analytics area.

Deep understanding of databases and analytical technologies in the industry including MPP and NoSQL databases, Data Lake, Data Warehouse design, BI reporting and Dashboard development.

Experience of Data architecture, data governance, data quality standards, and data security practices in at least 2 implementations.

Experience in customer data models and developing KPIs out of customer data.

Experience in customer facing roles to provide Solutions for Data use cases.

Certification in the Cloud based data stack.

Experience in deployment of a large distributed Big Data Application

Track record of thought leadership and innovation around Big Data. Solid understanding of Data landscape and related emerging technology.

Technical skills needed, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Apache Hive, Apache Spark, Architectural Services, Best Practices, Business Intelligence, Cloud Computing, Customer Relations, Customer/Client Research, Data Analysis, Data Lake, Data Mart, Data Modeling, Data Quality, Data Warehousing, DataArchitect Data Modeling Tool, Database Analysis, Database Extract Transform and Load (ETL), Database Technology, Design Services, Electronic Medical Records, Emerging Technology, HDFS (Hadoop Distributed File System), Informatica, Information/Data Security (InfoSec), Java, Leadership, Legal, Loan Funding, Looker, Marketing, Marketing Strategy, Mentoring, Microsoft Windows Azure, NoSQL, Performance Metrics, Power BI, Python Programming/Scripting Language, Quality Metrics, Reporting Dashboards, Sales, Scala Programming Language, Student Loans, Thought Leadership, Use Cases

Benefits & conditions

Discretionary Annual Incentive. 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.

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