Data Control Executive

Data Control Executive (Data Quality & Governance, Cloud, IoT & Blockchain Technologies) Job Summary Synechron is seeking a detail-oriented and technically proficient Data Control Executive to join our data management team. This role involves overseeing data quality, integrity, and compliance across business units by working closely with cross-functional teams. The successful candidate will utilize strong technical understanding of emerging technologies like cloud, IoT, and blockchain, alongside SDLC and agile practices, to support accurate data governance and operational efficiency. This position plays a key role in safeguarding data quality, enabling informed decision-making, and driving compliance with industry standards. Software Requirements Required Skills: Familiarity with data management and governance tools (e.g., Collibra, Informatica) Proficiency in scripting or programming languages such as Python, Java, or Node.js (intermediate to advanced) Experience with data quality tools and validation frameworks Knowledge of SDLC and Agile methodologies (e.g., Scrum) Preferred Skills: Experience with cloud platforms (AWS, Azure, GCP) for data storage and processing Knowledge of IoT, blockchain, or mobile platform integrations Familiarity with data visualization tools (Tableau, Power BI) Overall Responsibilities Monitor and maintain data quality standards across multiple platforms and systems Collaborate with cross-functional teams to understand data requirements and design solutions for ensuring data accuracy and compliance Identify and resolve data discrepancies, inconsistencies, and anomalies in a timely manner Develop and update technical documentation, data workflows, and validation procedures Conduct data audits and quality assessments, ensuring alignment with regulatory and industry standards Support the implementation of new data management tools, including configuration, testing, and deployment Stay updated with emerging technology trends (cloud, IoT, blockchain) and assess their application to improve data governance processes Provide technical support and troubleshooting for data-related issues, ensuring data security and privacy compliance Performance outcomes: High levels of data accuracy, consistency, and compliance Efficient workflows and robust data validation processes Improved stakeholder confidence in data integrity Successful deployment of new tools or process improvements Technical Skills (By Category) Programming Languages (Required): Python, Java, or Node.js essential for automation, validation, and scripting JavaScript preferred for interface or reporting enhancements Databases/Data Management: SQL and NoSQL (MongoDB, DynamoDB) essential for data querying and management Knowledge of data modeling, normalization, and data warehousing preferred Cloud Technologies: Cloud-based data storage and processing (AWS, Azure, GCP) preferred Frameworks and Libraries: Data validation frameworks and ETL tools preferred APIs and integration tools for blockchain, IoT, or mobile data advantageous Development Tools and Methodologies: Data versioning and configuration management (Git, Bitbucket) required Agile and SDLC methodologies required Security Protocols: Data privacy, encryption, and compliance protocols preferred Experience Requirements Minimum of 3 + years experience in data management, data governance, or related roles Proven experience working with data quality, validation, and integrity programs in complex environments Experience with emerging technologies such as cloud, IoT, or blockchain integration for data systems preferred Industry experience in finance, healthcare, or regulated industries advantageous Practical experience conducting data audits, implementing data standards, and collaborating with technical and business teams Day-to-Day Activities Daily review of data quality dashboards and reports to identify anomalies Collaborate with IT, data engineers, and business teams to define data standards and controls Conduct data validation, cleansing, and reconciliation procedures Develop, execute, and improve data quality scripts or workflows Document data processes and validation rules for audit and compliance purposes Participate in daily stand-ups, planning sessions, and cross-team meetings Support infrastructure enhancements involving cloud or blockchain data platforms Troubleshoot data issues, coordinate with technical teams to resolve incidents Qualifications Bachelors or Masters degree in Computer Science, Information Technology, Data Science, or similar field Certifications in data management, data governance, or relevant technology (e.g., CDMP, DAMA) preferred Extensive experience in data quality, validation, and management frameworks Knowledge of compliance standards relevant to data (e.g., GDPR, HIPAA, industry-specific regulations) Professional Competencies Strong analytical and critical thinking skills for identifying data discrepancies and root causes Effective communication skills to liaise with technical and non-technical stakeholders Ability to work independently and prioritize tasks effectively Adaptability to evolving technology landscapes (cloud, IoT, blockchain) Strong problem-solving capabilities and attention to detail Continuous learning attitude to keep pace with industry trends