Big Data Architect Resume Samples

Description :

1. Understood the relationship between those technologies, and how they can be integrated and combined to effectively solve any given big data business problem.
2. Able to design large-scale data processing systems for the enterprise and provide input on architectural decisions including hardware and software.
3. Owned and drove the architecture for multiple projects/products at the same time considering the global rollouts.
4. Managed global rollouts of data projects/products working with various stakeholders.
5. Led a team of data engineers and senior/lead engineers by mentoring and guiding them.
6. Communicated and translated the technical solution to the team and other stakeholders.
7. Designed and implemented various components of the data pipeline that include data integration, storage, processing, and analysis of business data.

Experience

5-7 Years

Level

Executive

Education

BSDS

Description :

1. Created and managed ETL processes, automating data ingestion, transformation, and loading from various sources. 
2. Implemented data governance policies and best practices, ensuring compliance with industry regulations and standards.
3. Oversaw data integration projects, ensuring seamless data flow between on-premises and cloud environments. 
4. Evaluated new technologies and tools, making recommendations for adoption to enhance data architecture and analytics capabilities.
5. Designed data security protocols and measures, protecting sensitive information and ensuring data privacy. 
6. Collaborated with IT and cybersecurity teams to implement robust data encryption and access control mechanisms.
7. Provided technical leadership in the design and implementation of big data platforms, ensuring high availability and disaster recovery capabilities. 

Experience

0-2 Years

Level

Entry Level

Education

BSDS

Description :

1. Negotiated with customers to architect and design business BI and data management applications and platform solutions to address complex cross-functional and technical needs and convert design to functional and technical specifications. 
2. Identified and recommended industry BKMs for integrated solution design and standards.
3. Managed Big Data and AI/Ml software application and platform configuration and/or coding, including query and report building, dashboard creation, and master data and integration object development. 
4. Led overall testing (unit, integration, performance, acceptance) and data conversions using standard tools and following established processes and guidelines. 
5. Oversaw contingent workers performing configuration, coding, and object development work. Perform Quality assurance.
6. Managed the execution of BI application and platform evaluations and POCs. 
7. Assessed vendor strategies, roadmaps, and next-generation technologies, and recommended changes to architectural strategy and technology roadmap.

Experience

0-2 Years

Level

Fresher

Education

BSDS

Description :

1. Monitored specific IT systems or sets of systems for availability, performance, and capabilities and reports anomalies through predefined processes. 
2. Managed completion of root cause analysis and resolution of complex outages or incident trends working with infrastructure and technical teams, support providers, and application vendors. 
3. Participated in the evaluation and recommendation of patches, point releases, major upgrades, and new systems.
4. Planned and managed medium to large-scale Business intelligence, Big Data, or AI/ML application or platform projects to ensure effective and efficient execution in line with guardrails of scope, timeline, budget, and quality. 
5. Oversaw contingent workers performing Business Intelligence, Big Data, and AI/ML projects and/or support services. 
6. Managed contingent worker project/task assignments and ensured work product quality. Approves contingent worker timesheets/cost.
7. Implemented monitoring and alerting systems for big data applications to ensure high availability and reliability.

Experience

2-5 Years

Level

Junior

Education

BSDS

Description :

1. Provided technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud.
2. Ensured data governance principles are adopted, data quality checks, and data lineage are implemented in each hop of the data.
3. Partnered with the data teams, and enterprise architecture organization to ensure the best use of standards for the key data domains and use cases.
4. Continuous learning with an eye on emerging trends around data lake architecture and enterprise data solutions.
5. Ensured compliance through the adoption of enterprise standards and promotion of best practices / guiding principles aligned with organization standards.
6. Designed and maintained the overall architecture for the product(s)/platform(s) in alignment with enterprise architecture and platform strategy (including architectural roadmaps).
7. Designed, developed, and implemented robust, scalable, and high-performance modern Big Data solutions based on their preferred technologies. 

Experience

7-10 Years

Level

Senior

Education

BSDS

Description :

1. Evaluated and selected appropriate Big Data technologies and tools based on personal preferences, project needs, and performance requirements. 
2. Created a road map and short-term and long-term plans for the Executive Management presentation.
3. Designed and implemented data integration processes to consolidate data from several external and internal sources into a centralized repository.
4. Identified and implemented Big Data optimization strategies for performance, scalability, and cost-efficiency.
5. Integrated Big Data solutions with cloud platforms (AWS, Azure, Google Cloud Platform) to leverage cloud-based services and infrastructure.
6. Designed and developed scalable big data solutions, integrating disparate data sources to create a unified architecture. 
7. Created and maintained detailed design documents, technical specifications, operational procedures, and SLAs.

Experience

10+ Years

Level

Management

Education

BSDS

Description :

1. Designed and implemented robust data architectures that support large-scale data processing and analytics. 
2. Oversaw the deployment of architectural aspects across hardware, software, security, messaging, workflow, interoperability, flexibility, reliability, scalability, and architectural structure within the organization, in alignment with Enterprise Architect(s) guidance.
3. Collaborated with application and technology project teams to develop and deploy architectural designs, and assess enterprise implications. 
4. Defined and implemented architectural principles, patterns, guidelines, and standards.
5. Facilitated communication, identify impacts, and resolve conflicts with application teams, business units, and other architects. 
6. Led the initiative to build end-to-end Analytics/AI/ML/GenAI use cases, mapping out different personas' tasks and requirements.
7. Designed and implemented data architectures that facilitate seamless integration between Analytics and AI/ML/GenAI services and identity management systems.

Experience

0-2 Years

Level

Fresher

Education

BSDS

Description :

1. Ensured that our applications and infrastructure were designed and implemented to the highest security standards thus maintaining and enhancing customer trust.
2. Evangelized data security and an advocate for keeping customer information secure, compliant, and audited.
3. Led moderately large or complex projects and ensured the success of application rollouts.
4. Determined and developed aligned recommended architectural approaches to document current systems.
5. Served as technical architecture expert for software development/infrastructure teams.
6. Assisted project teams in estimating the architecture design effort and in developing/ reviewing/ approving architecture designs.
7. Advised project teams on the application of standards/methodology practices to the project.

Experience

7-10 Years

Level

Consultant

Education

BSDS

Description :

1. Coordinated IT project management, engineering, maintenance, QA, and risk management.
2. Performed monitoring, maintenance, or reporting on real-time databases, real-time network and serial data communications, and real-time graphics and logic applications.
3. Defined and implemented architectural principles, standards, and best practices for data management, automation, AI/ML development, application development, and system integrations.
4. Led technical discussions, design reviews, and code reviews to ensure the quality, maintainability, and scalability of software solutions.
5. Implemented data governance frameworks to ensure compliance with data privacy regulations and best practices.
6. Collaborated with data scientists and analysts to understand data requirements and optimize data models for performance.
7. Evaluated and implemented data visualization tools to present insights derived from big data analytics.

Experience

10+ Years

Level

Management

Education

BSDS

Description :

1. Collaborated with cross-functional teams to ensure alignment with customer needs and objectives.
2. Provided guidance and expertise to field teams to enhance the customer experience.
3. Identified product gaps, opportunities for improvement, and areas for innovation within AWS services and third-party integrations.
4. Designed and implemented Big Data analytic solutions on a Hadoopbased platform. 
5. Refined a data processing pipeline, focused on unstructured and semi-structured data refinement. 
6. Supported quick turn and rapid implementations and larger scale and longer duration analytic capability implementations.
7. Owned core aspects of an engagement and worked in partnership with other domain experts to deliver complex and comprehensive enterprise solutions.

Experience

2-5 Years

Level

Junior

Education

BSc CS