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Big Data Architect
Design and implement scalable data solutions that meet compliance standards and support enterprise system integration.
70 000 – 180 000 USD ($)
Average salary / year
Bachelor's degree or higher
Education level
00
Automation level
Medium
Difficulty
Positive
Employability
1-3 years
Market tension
High
Intl. mobility
Possible
Automation level
Medium
Difficulty
Positive
Employability
1-3 years
Market tension
High
Intl. mobility
Possible
About
As a Big Data Architect at a leading tech firm, you will drive the design and implementation of scalable data solutions, impacting both enterprise systems and the bottom line. You'll work within a dynamic corporate setting, leveraging cutting-edge tools and collaborating closely with cross-functional teams to optimize data flow and integration. This role is pivotal in ensuring data architecture meets compliance standards and supports business objectives effectively. Your expertise will help navigate complex data ecosystems, enabling data-driven decision-making across the organization.
Skills
Technical skills
- Expertise in Hadoop for distributed data processing
- Proficiency with Spark for real-time analytics
- Skilled in data modeling to enhance data accessibility
- Strong command of SQL for database management
- Experience with ETL processes for data integration
- Knowledge of cloud platforms for scalable solutions
- Familiarity with NoSQL databases for flexible data storage
- Understanding of data governance to ensure compliance
Interpersonal skills
- Exceptional problem-solving abilities
- Analytical thinking for complex data challenges
- Effective communication fostering understanding
- Leadership skills to inspire and motivate teams
- Collaboration with cross-functional groups
- Attention to detail ensuring accuracy
- Project management for timely deliverables
- Decision-making that aligns with business goals
Tasks
- Analyze current data architecture to identify areas for improvement, utilizing tools like Hadoop and Spark.
- Design robust data models that enhance data accessibility and performance while maintaining compliance standards.
- Implement data processing frameworks to ensure efficient data handling and reporting.
- Collaborate with software development teams to integrate new data solutions into existing systems.
- Monitor and optimize the performance of data pipelines to meet SLAs and business requirements.
- Conduct audits of data storage systems to ensure accuracy and security in line with regulatory requirements.
- Advise management on technology strategies to ensure future data architecture aligns with business goals.
- Negotiate with vendors for cost-effective data solutions that meet enterprise needs.
- Develop and enforce data management policies for consistency and reliability across platforms.
- Lead workshops with stakeholders to assess data requirements and drive architecture improvements.
Work environments
Work environments for professionals in this sector may vary:
Corporate technology environment fostering innovation and growth
Cross-functional teams promoting collaboration and synergy
Agile development processes ensuring flexibility and speed
Data-driven culture that values insights and informed decisions
Regulatory compliance to uphold standards and integrity
Remote collaboration tools for seamless communication
Cloud-based solutions offering scalability and efficiency
Career paths
- Progress to the role of Chief Data Officer to lead data initiatives
- Advance to IT Director overseeing technology strategies
- Become a Data Strategy Consultant to guide business decisions
- Lead as an Advanced Analytics Lead driving insights
- Take on the role of Data Science Manager managing analytical teams
Profile sought
Strategic thinker with a focus on long term goals
Innovative approach to problem solving
Detail oriented with a keen eye for accuracy
Collaborative team player who values input from others
Adaptable to changing technologies and environments
How to become a Big Data Architect?
