Description

Responsibilities:

• Design and implement scalable, secure, and high-performance data architectures on GCP.
• Architect enterprise data lakes, data warehouses, and real-time data processing solutions using GCP services.
• Lead data modernization and cloud migration initiatives from on-premises platforms to GCP.
• Define data modeling standards, data integration frameworks, and metadata management strategies.
• Design batch and streaming data pipelines using GCP native services.
• Collaborate with business stakeholders, data engineers, analysts, and application teams to deliver data solutions.
• Ensure data quality, governance, security, and compliance with financial industry regulations.
• Support regulatory reporting, risk management, fraud analytics, customer analytics, and financial reporting initiatives.
• Establish best practices for data architecture, performance optimization, scalability, and disaster recovery.
• Provide technical leadership and mentor engineering teams on cloud data solutions.

Requirements:

• Experience in Data Architecture, Data Engineering, or related roles.
• Hands-on experience with Google Cloud Platform (GCP).
• Strong expertise in:
• BigQuery
• Cloud Storage
• Dataflow
• Pub/Sub
• Dataproc
• BigLake
• Cloud Composer (Airflow)
• Cloud Functions
• Cloud Run
• Experience with ETL/ELT frameworks and large-scale data integration.
• Strong knowledge of data modeling techniques (Dimensional, Star Schema, Snowflake).
• Hands-on experience with SQL, Python, Spark, and data processing frameworks.
• Experience with real-time and batch data architectures.
• Familiarity with Data Governance, Data Catalog, and Master Data Management.
• Strong understanding of security, encryption, IAM, and cloud compliance standards.

Financial Domain Expertise:

• Strong experience in Banking, Financial Services, Capital Markets, or FinTech.
• Experience with:
• Regulatory Reporting
• Risk Management
• AML/KYC
• Payments
• Lending & Mortgages
• Financial Data Warehousing
• Customer 360 Solutions
• Understanding of financial data models and compliance requirements.
• Experience working with highly regulated environments and sensitive financial data.

Preferred Skills

• Experience with Terraform or Infrastructure as Code (IaC).
• Knowledge of CI/CD tools such as GitHub Actions, Jenkins, or Harness.
• Experience with Databricks, Snowflake, or other modern data platforms.
• Exposure to AI/ML and GenAI solutions on GCP (Vertex AI).
• GCP Professional Data Engineer or Professional Cloud Architect certification.
• Experience with Agile/Scrum delivery methodologies.
• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field.
• GCP certifications highly preferred

Key Skills

Education

Bachelor's or Master's degrees