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Data Architect

Job in Marlborough, Middlesex County, Massachusetts, 01752, USA
Listing for: Tata Consultancy Services
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Warehousing, Cloud Computing
Salary/Wage Range or Industry Benchmark: 100000 - 140000 USD Yearly USD 100000.00 140000.00 YEAR
Job Description & How to Apply Below

Data Architect role at Tata Consultancy Services

Salary Range: $100,000 - $140,000 a year

Responsibilities
  • Architect and design Sales and Marketing data initiatives, demonstrating data architectural knowledge, customer management, and innovation.
  • Deliver customer Cloud data strategies for Marketing, aligned with customer business objectives and focused on Cloud migrations.
  • Provide leadership in platform migration methodologies and techniques, including governance frameworks, guidelines, and best practices.
  • Build points of view, thought leadership, and solutions for proposals, competency development, and mentoring.
  • Design solutions for Data Lake, Data Warehouse, BI, Data Mart, and analytics systems.
Qualifications & Experience
  • At least 3‑year experience as architect for large‑scale cloud data projects involving a minimum of 3 technological tracks in hyper‑scale platforms.
  • Minimum 6 years of expertise in data and analytics.
  • Deep understanding of databases and analytical technologies, including MPP and No

    SQL databases, Data Lake, Data Warehouse design, BI reporting, and dashboard development.
  • Experience with data architecture, data governance, data quality standards, and data security practices in at least 2 implementations.
  • Experience developing customer data models and KPIs from customer data.
  • Experience in customer‑facing roles providing solutions for data use cases.
  • Certification in the cloud‑based data stack.
  • Experience deploying large distributed Big Data applications.
  • Track record of thought leadership and innovation around Big Data and a solid understanding of the data landscape and emerging technologies.
Required Skills
  • Languages:

    Java, Python, Scala
  • AWS: S3, EMR, Glue, Redshift, Athena, Lambda
  • Azure:
    Blob, ADLS, ADF, Synapse, PowerBI
  • Google Cloud:
    Big Query, Data Proc, Looker
  • Snowflake
  • Databricks
  • CDH:
    Hive, Spark, HDFS, Kafka, CDH etc.
  • ETL:
    Informatica, DBT, Mattilion
Benefits
  • 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.
Employment Details
  • Employment type:

    Full‑time
  • Seniority level:
    Mid-Senior level
  • Job function:
    Engineering and Information Technology
  • Industries: IT Services and IT Consulting
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