Director, Data Platform Engineering Job in
- ValGenesis
- 10 to 14 Yrs
- Chennai
- 2 months ago
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Job Description
- We are looking for experienced cloud data platform engineering/development leader who could join our cloud product engineering team to lead the data platform of ValGenesiss next generation applications. If you are a technology leader and have passion to develop highly scalable and highly performant enterprise cloud products, we are eager to discuss with you about the potential role. Responsibilities: Platform Design and Architecture: Lead the design and architecture of our data platform infrastructure, collaborating with cross-functional teams to define requirements, select technologies, and develop scalable and resilient architecture. Platform Implementation: Oversee the implementation and deployment of data platform solutions, including data storage, data processing, and integration components, ensuring adherence to best practices, standards, and security protocols. Platform Monitoring and Optimization: Establish monitoring and alerting mechanisms to proactively monitor the health, performance, and availability of data platforms, identifying and addressing issues and optimizing resource utilization. Platform Access Management: Manage data platform access including cloud storage, databases, data warehouses, data lakes and other cloud services. Platform Storage and Management: Manage data storage solutions, including data pipeline, ETL, databases, data warehouses, data lakes, and cloud storage services, optimizing performance, reliability, and cost-effectiveness. Documentation: Maintain comprehensive documentation of data platform, access management processes, platform monitoring, platform usage, and post-implementation reviews for stakeholders and management. Platform Security and Compliance: Ensure the security and compliance of data platforms with industry regulations and best practices, implementing access controls, encryption, and data governance policies to protect sensitive data assets. Data Integration: Lead efforts to integrate data from disparate sources, systems, and applications into a unified data ecosystem, collaborating with IT, engineering, and business teams to design and implement effective data integration solutions. Data Processing and Analytics: Implement data processing and analytics capabilities, including batch processing, real-time streaming, and data analytics frameworks, to enable advanced data analysis and insights generation. Vendor Management: Manage relationships with data platform vendors and service providers, evaluating vendor offerings and ensuring the delivery of high-quality services and support. Team Leadership: Lead and mentor a team of data platform engineers providing guidance, coaching, and support to foster a culture of collaboration, innovation, and continuous learning. Stakeholder Communication: Communicate regularly with stakeholders, including IT, business, and executive leadership, to provide updates on data platform initiatives, solicit feedback, and align platform strategies with business goals and priorities. Requirements Bachelors degree or Masters degree in computer science, information systems or related field. Proven track record with at least 10+ years of experience in data engineering, dataOps for a large-scale data platform serving multiple business lines and products, including hands-on design and implementation experience. 5+ years of experience in a leadership role, managing and scaling engineering teams. Extensive experience in designing solutions on High trust/PCI-compliant cloud data platform. Deep knowledge and rich experience in data ingestions, including streaming technology and systems. Strong experience in data management and analytics tools and technologies, such as SQL, NoSQL databases, MS SQL Server, Distribute PostgreSQL, Citus, SSRS, SSIS, Hadoop, Spark, Databricks, Kafka, and cloud-based data lake platforms. Strong expertise in designing and building scalable data pipelines, ETL processes, and analytics solutions using cloud services, ETL tools, Snowflake etc. Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehouses. Experience in migrating data from existing warehouses or transactional data stores (SQL Server) to cloud data platform. Experience in software development with programming languages like Python, C#, or Scala. Strong understanding and practical experience with CI/CD pipelines, automated testing, and agile methodologies. Experience in BI / Reporting tools like Apache Superset, PowerBI. Experience with data platform automation, orchestration, and containerization tools (e.g., Ansible, Kubernetes, Docker) for managing and deploying platform infrastructure and services. Solid understanding of data security principles, practices, and compliance requirements, including GDPR, HIPAA, SOC 2, and PCI-DSS, and experience implementing security controls and measures. Experience with AI/ML data models, data modeling, data governance is preferred Excellent leadership and management skills, with the ability to lead and motivate a team, set clear goals and expectations, and drive performance and results. Strong analytical and problem-solving skills, with the ability to analyze complex data platform challenges, identify solutions, and implement effective strategies to achieve desired outcomes. Excellent communication and interpersonal skills, with the ability to communicate effectively with technical and non-technical stakeholders, build consensus, and influence decision-making. Experience working in regulated industries such as pharma, health sciences with knowledge of compliance requirements and standards related to data management and privacy (e.g., HIPAA, GDPR) is preferred. Benefits Were on a Mission In 2005, we disrupted the life sciences industry by introducing the worlds first digital validation lifecycle management system. ValGenesis VLMS revolutionized compliance-based corporate validation activities and has remained the industry standard. Today, we continue to push the boundaries of innovation enhancing and expanding our portfolio beyond validation with an end-to-end digital transformation platform. We combine our purpose-built systems with world-class consulting services to help every facet of GxP meet evolving regulations and quality expectations. The Team Youll Join Our customers success is our success. We keep the customer experience centered in our decisions, from product to marketing to sales to services to support. Life sciences companies exist to improve humanitys quality of life, and we honor that mission. We work together. We communicate openly, support each other without reservation, and never hesitate to wear multiple hats to get the job done. We think big. Innovation is the heart of ValGenesis. That spirit drives product development as well as personal growth. We never stop aiming upward. Were in it to win it. Were on a path to becoming the number one intelligent validation platform in the market, and we wont settle for anything less than being a market leader. How We Work Our Chennai and Bangalore offices are onsite, 5 days per week. We believe that in-person interaction and collaboration fosters creativity, and a sense of community, and is critical to our future success as a company. ,
Employement Category:
Employement Type: Full timeIndustry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Director, Data Platform Engineering Job in
Contact Details:
Company: ValGenesisLocation(s): Chennai
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Keyskills: Data Processing Integration Monitoring Optimization Access Management Documentation Data Integration Vendor Management Team Leadership Data Engineering Data Science Data Migration Software Development Automated Testing Agile Methodologies Orchestration Data Modeling Data Governance Leadership Skills Management Skills Analytical Skills Communication Skills Interpersonal Skills Security Compliance Analytics Data Management Data Lakes
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