Data Architect

Tata Consultancy Services Limited
Framingham, MA, United States
7 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$100,000.0 - $130,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Amazon Web Services Amazon S3 Data Analysis Microsoft Azure Big Data BigQuery Cloud Computing Cloud Database Cyber Security Databases Customer Data Management
+26 more
Data Architecture Data Governance Extract Transform Load (ETL) Data Mart Data Security Data Systems Data Warehousing Database Analysis Hadoop Distributed File System Apache Hive Python (Programming Language) NoSQL Power BI Cloudera Scala (Programming Language) Scripting Google Cloud Snowflake Apache Spark Electronic Medical Records Data Lakes Data Analytics Apache 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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