Synechron
Senior Data Security Engineer
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About Company:
Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,500 professionals across around 60 offices in over 20 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering. Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn community.
Diversity, Equity, and Inclusion:
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity, and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements, and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
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Job Description:
We are seeking a Senior Data Security Engineer to design, build, and operate Data Security Posture Management (DSPM) capabilities across cloud, on-premises, SaaS, and hybrid environments. You will help discover and classify sensitive data, assess access and exposure risks, automate remediation, and integrate DSPM findings with enterprise security, governance, and operational platforms.
Key Responsibilities:
- Build and operate DSPM solutions across structured and unstructured data environments.
- Discover, inventory, classify, and assess sensitive data across databases, data lakes, warehouses, object stores, file platforms, SaaS, and cloud services.
- Develop Python automation for data-source onboarding, scanning, metadata enrichment, risk scoring, evidence capture, and remediation workflows.
- Integrate DSPM platforms with IAM, data catalogs, CMDB, SIEM/SOAR, ticketing, incident response, and reporting systems.
- Correlate data sensitivity with ownership, permissions, identity, location, lineage, configuration, exposure, and activity.
- Configure classification policies, risk analytics, dashboards, alerts, and workflows.
- Improve classification accuracy, coverage, data freshness, connector health, and remediation performance.
- Support controls including least privilege, Zero Trust, encryption, masking, tokenisation, retention, and secure deletion.
- Troubleshoot integrations and distributed systems across APIs, networks, identities, cloud services, and data platforms.
- Produce technical designs, operational documentation, control evidence, metrics, and risk communications.
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Essential Experience:
- 7+ years’ experience in data security, cybersecurity, cloud security, security engineering, or a related field.
- Strong knowledge of DSPM, data discovery, classification, governance, and data protection.
- Hands-on experience with structured and unstructured data environments and at least one public cloud platform.
- Strong Python skills, including REST APIs, authentication, testing, error handling, and automation.
- Experience with enterprise integrations, event-driven architectures, queues, or streaming technologies.
- Knowledge of IAM, RBAC/ABAC, least privilege, secrets management, encryption, logging, and network security.
- Experience with Linux, Git, CI/CD, containers, automated testing, and infrastructure automation.
- Ability to troubleshoot complex distributed systems.
- Experience working with privacy, regulatory, risk, and data-handling requirements.
Desirable Skills:
- Experience with Microsoft Purview, BigID, Varonis, Cyera, Securiti, or similar DSPM platforms.
- Azure, AWS, or Google Cloud data and security services.
- Databases, data warehouses, data lakes, lakehouses, MongoDB, or object storage.
- Kubernetes, Docker, Terraform, Ansible, Kafka, Jenkins, Grafana, Loki, or Splunk.
- SIEM/SOAR, data catalogs, CMDB, data lineage, DLP, cryptography, masking, and retention.
- NIST, Zero Trust, cloud security frameworks, or regulated environments.
What We Offer:
- The opportunity to shape and scale a strategic DSPM capability.
- A collaborative, engineering-led environment.
- Exposure to complex cloud, data, and security technologies.
- Flexible and hybrid working arrangements.
- Opportunities for professional growth and technical leadership.
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