Position Summary
The Sr Analytics Engineer architects, builds, and operates secure, scalable data pipelines and analytics integrations within a governed AWS cloud environment. This role carries direct accountability for data quality, privacy-preserving engineering, and compliance with HIPAA, SOC 2, GDPR, and CCPA. The individual serves as the technical authority on analytics engineering standards and partners with Security, Legal, and Compliance teams to ensure all data products meet enterprise governance requirements.
AWS Technology Stack
Deep hands-on expertise required across the following AWS service areas:
- Data Storage & Lake: S3, Lake Formation, Glue Data Catalog, DynamoDB
- Processing & ETL: Glue (PySpark), Lambda, Step Functions, EMR
- Analytics & Query: Athena, Redshift / Redshift Serverless, QuickSight
- Integration & Streaming: Kinesis, API Gateway, Transfer Family, AppFlow
- Security & Encryption: KMS, IAM, Secrets Manager, Macie, GuardDuty, CloudTrail
- Monitoring & Compliance: CloudWatch, AWS Config, X-Ray, Systems Manager
- Networking & Isolation: VPC, PrivateLink, AWS Clean Rooms
Governance & Compliance Responsibilities Regulatory Compliance
- Design data architectures compliant with HIPAA (PHI encryption, minimum necessary access, audit retention), GDPR/CCPA (DSAR automation, right-to-erasure, consent management), SOC 2 Type II (access reviews, change management, continuous monitoring), and PCI DSS where applicable.
- Implement data residency and sovereignty controls ensuring data remains within approved AWS Regions.
Data Governance & Quality
- Enforce data classification standards (Public, Internal, Confidential, Restricted) via Macie and Lake Formation LF-Tags. Implement automated data quality frameworks with freshness, completeness, and accuracy SLAs.
- Maintain data lineage documentation, data retention/purge policies via S3 Lifecycle Rules and DynamoDB TTL, and participate in Data Governance Council reviews and compliance audits.
Security & Access Governance
- Implement least-privilege access models with quarterly reviews, IAM Access Analyzer scans, and encryption-at-rest/in-transit standards with KMS key policy management.
- Design masking, tokenization, and anonymization pipelines for non-production environments. Enforce IaC governance via CloudFormation/Terraform with security review gates and drift detection.
Responsibilities
Key Responsibilities
- Architect production-grade, fault-tolerant batch and real-time data pipelines within a compliance-governed AWS environment.
- Lead data modeling (dimensional, SCD, data vault) and build API/file-based integrations with encryption and audit logging at every point.
- Build CI/CD pipelines for data infrastructure with mandatory security scanning and approval gates.
- Conduct code reviews, mentor engineers, and produce technical documentation including ADRs, runbooks, and compliance evidence packages.
Qualifications
Qualifications Required
- Bachelor’s degree in Computer Science, Data Engineering, or related field; 7+ years in Analytics/Data Engineering.
- Expert SQL and Python (PySpark, Pandas, Boto3); deep AWS experience across the data, security, and governance stack.
- Demonstrated experience implementing governance frameworks and regulatory compliance controls (HIPAA, SOC 2, GDPR, CCPA) in production.
- Experience with IaC (CloudFormation, Terraform, CDK), CI/CD for data pipelines, and data security principles.
Preferred
- AWS certifications (Data Analytics Specialty, Security Specialty, Solutions Architect Professional).
- Experience with data quality frameworks (Great Expectations, dbt, Monte Carlo), and regulated industries (healthcare, financial services).
Skills Required
- Bachelor's degree in Computer Science, Data Engineering, or related field
- 7+ years in Analytics/Data Engineering
- Expert SQL
- Expert Python (PySpark, Pandas) and Boto3
- Deep AWS experience across data, security, and governance stack (S3, Lake Formation, Glue, DynamoDB, Lambda, EMR, Athena, Redshift, QuickSight, Kinesis, API Gateway, etc.)
- Demonstrated experience implementing governance frameworks and regulatory compliance controls (HIPAA, SOC 2, GDPR, CCPA) in production
- Experience with Infrastructure-as-Code (CloudFormation, Terraform, CDK)
- Experience building CI/CD pipelines for data infrastructure and applying data security principles
- Experience with data modeling (dimensional, SCD, data vault) and secure API/file-based integrations with encryption and audit logging
- Familiarity with data quality frameworks (Great Expectations, dbt, Monte Carlo)
- AWS certifications (Data Analytics Specialty, Security Specialty, Solutions Architect Professional)
- Experience in regulated industries (healthcare, financial services)
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
