Job description

Must Have Technical/Functional Skills • 10+ years of experience in Data Engineering and Data Architecture. • 5+ years of hands-on experience with Databricks, PySpark, and Apache Spark. • Strong expertise in - Databricks Lakehouse Architecture, Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks Workflows, Medallion Architecture • Experience designing enterprise-scale analytics and data platforms. • Expert-level proficiency in PySpark and Spark SQL. • Advanced SQL development and query optimization skills. • Strong understanding of batch and streaming architectures. • Experience with data warehousing, ETL/ELT, and large-scale data processing. • Expertise in dimensional, relational, and analytical data modeling. • Experience implementing data governance, data quality, and metadata management solutions. • Knowledge of CI/CD practices, Git, DevOps, and Infrastructure as Code (Terraform preferred). • Experience establishing architectural standards and engineering best practices. Roles & Responsibilities • Architect and design scalable, secure, and high-performance data platforms using Databricks and AWS. • Lead solution design, data modeling, and enterprise data architecture initiatives. • Design and optimize batch and real-time data pipelines using Databricks, PySpark, and Delta Lake. • Partner with business and technology stakeholders to define requirements and deliver strategic data solutions. • Establish standards for data governance, security, quality, performance, and operational excellence. • Provide technical leadership, mentoring, and architectural guidance to engineering teams. • Drive cloud modernization, platform optimization, and data transformation initiatives. TCS Employee Benefits Summary: • Discretionary Annual Incentive. • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. • Family Support: Maternal & Parental Leaves. • Insurance Options: Aut& 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. #LI-KR3 Salary Range-$120,000-$160,000 a year

Requirements

Must-haves

Must Have Technical/Functional Skills
10+ years of experience in Data Engineering and Data Architecture.
5+ years of hands-on experience with Databricks, PySpark, and Apache Spark.
Strong expertise in - Databricks Lakehouse Architecture, Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks Workflows, Medallion Architecture
Experience designing enterprise-scale analytics and data platforms.
Expert-level proficiency in PySpark and Spark SQL.
Advanced SQL development and query optimization skills.
Strong understanding of batch and streaming architectures.
Experience with data warehousing, ETL/ELT, and large-scale data processing.
Expertise in dimensional, relational, and analytical data modeling.
Experience implementing data governance, data quality, and metadata management solutions.
Experience establishing architectural standards and engineering best practices.
Roles & Responsibilities
Architect and design scalable, secure, and high-performance data platforms using Databricks and AWS.
Lead solution design, data modeling, and enterprise data architecture initiatives.
Design and optimize batch and real-time data pipelines using Databricks, PySpark, and Delta Lake.
Partner with business and technology stakeholders to define requirements and deliver strategic data solutions.
Establish standards for data governance, security, quality, performance, and operational excellence.
Provide technical leadership, mentoring, and architectural guidance to engineering teams.
Drive cloud modernization, platform optimization, and data transformation initiatives.
Discretionary Annual Incentive.
Family Support: Maternal & Parental Leaves.
Insurance Options: Aut& Home Insurance, Identity Theft Protection.

Nice-to-haves

Knowledge of CI/CD practices, Git, DevOps, and Infrastructure as Code (Terraform preferred).

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlci/cdaws

Platform: careers-page
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Parental Leave