Sutherland: Lead Databricks Architect – Financial Services & Banking — Dallas, TX, United States

About Sutherland

Sutherland works in business and digital transformation, combining technology services with business-process expertise. Its employer descriptions identify artificial intelligence, automation, cloud engineering and advanced analytics as areas of activity. The company uses products, platforms and service delivery to improve business operations and customer experiences. Its stated approach brings human expertise together with AI, adapting technology and process changes to the needs of the organisation receiving the service rather than providing only a standalone software product.

The position and its setting

Sutherland lists Lead Databricks Architect – Financial Services & Banking in Dallas, TX, United States, under reference REF47938D. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 22 October 2026
• Brands: Sutherland

Responsibilities and work described

• Sutherland is seeking an experienced Lead Databricks Architect with deep domain expertise in the banking and financial services industry to drive the strategy, design, and implementation of our enterprise lakehouse platform
• In this role, you will bridge the gap between complex banking business requirements and cutting-edge data architecture
• Be responsible for building a secure, scalable, and highly performant Databricks lakehouse environment that powers critical banking applications, including regulatory reporting, risk management, fraud detection, customer analytics, and real-time transaction processing
• Architecture & Platform Strategy
• Design: and implement an enterprise-grade Databricks Lakehouse architecture leveraging Delta Lake, Unity Catalog, and Databricks SQL tailored for financial data models
• Establishment: architectural patterns for high-throughput batch and real-time streaming data pipelines (e.g., Structured Streaming, Auto Loader) integrating core banking systems, payment gateways, and third-party data providers
• Drive the migration strategy from legacy data warehouses (e.g., Teradata, Oracle, Snowflake, mainframe environments) to Databricks
• Security, Compliance & Governance
• Implementation: strict data security, enterprise access controls, and fine-grained permissions using Databricks Unity Catalog to comply with financial regulations (e.g., GDPR, SOX, PCI-DSS)
• Architecture: data masking, tokenization, and encryption strategies for Personally Identifiable Information (PII) and Sensitive Personal Data (SPD)
• Quality / delivery: full data lineage, auditing, and metadata management across multi-cloud or hybrid-cloud deployment environments (Azure)
• Data Engineering & Performance Optimization
• Define best practices for PySpark, Delta Live Tables (DLT), and SQL optimization to maximize compute efficiency and reduce total cost of ownership (TCO)
• Establishment: CI/CD, DevOps, and MLOps automation frameworks for code deployment, data quality validation (e.g., Great Expectations), and model lifecycle management
• Partner with Data Science, Quantitative Analytics, and BI teams to support advanced financial modeling, predictive risk analysis, and customer 360 initiatives
• Stakeholder & Domain Leadership

Essential requirements and candidate background

• Databricks Expertise: 5+ years of hands-on experience designing and running large-scale Databricks environments in production
• Cloud Architecture: Deep knowledge of AWS, Azure, or GCP data services (e.g., Azure Data Lake Storage/Data Factory, AWS S3/Glue, or GCP GCS/BigQuery)
• Data Processing & Storage: Mastery of Delta Lake, PySpark, Databricks SQL, Structured Streaming, and Delta Live Tables
• Governance & Security: hands-on experience configuring Databricks Unity Catalog, RBAC, ABAC, and data governance frameworks
• DevOps & Infrastructure as Code: Proficiency with Terraform, CI/CD pipelines (GitHub Actions, Azure DevOps, Jenkins), and Databricks Asset Bundles (DABs)
• Required Banking Domain Knowledge
• Domain
• 3+ years working within a retail bank, investment bank, or financial services institution
• Financial Data Models: Familiarity with core banking operations, payments, lending, credit risk, anti-money laundering (AML), or fraud data structures
• Regulatory Landscape: understanding of banking data compliance requirements, auditability, and data sovereignty standards
• Education & Certifications
• Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field (or equivalent practical experience)
• Databricks Certified Data Engineer Professional
• Cloud Solutions Architect Certification (AWS Certified Solutions Architect / Azure Solutions Architect Expert)

Preferred experience and additional strengths

• Certifications (Preferred):

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Work arrangement: On-site
• Advertised location: Dallas, TX, United States

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Lead Databricks Architect – Financial Services & Banking vacancy is not an offer for reference REF47938D; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Sutherland

Applications follow the official employer page linked below.

Open the official Sutherland posting below and match the title and reference REF47938D.

Compare your qualifications and experience with the essential conditions for the Dallas, TX, United States position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: SQL

SQL references usually call for more detail than “database knowledge”. Explain the data you queried, the business or engineering question and how you checked that joins, aggregates and filters produced the intended result.

Relevant skills

• SQL
• CI/CD
• AWS
• GCP
• Azure
• audit
• risk management
• compliance
• banking
• warehouse operations
• Google Cloud