<h3>Job Description</h3><div>Job Description<div>Company Overview: Welcome to the forefront of data-driven innovation! Our company is dedicated to harnessing the power of data to drive transformative change and solve complex problems across industries. We're committed to building cutting-edge data architecture solutions that enable efficient data management, storage, and analytics. Join us and lead our efforts in shaping the future of data architecture.Position Overview: As the Lead Data Architect, you will play a pivotal role in leading our data architecture initiatives and driving the design, implementation, and optimization of our data architecture solutions. You will lead a team of skilled architects and engineers, collaborating closely with cross-functional teams to deliver high-quality data architecture solutions that meet the evolving needs of our data-driven organization. If you're a seasoned architect with expertise in data architecture technologies and a proven track record of leadership in delivering successful data projects, we invite you to join us in this exciting opportunity.RequirementsKey Responsibilities:<ol><li>Technical Leadership: Provide guidance, mentorship, and technical leadership to a team of data architects and engineers, fostering a culture of excellence and innovation.</li><li>Data Architecture Design: Lead the design and development of our data architecture solutions, including data models, schemas, and architecture, to meet business requirements and ensure efficient data management and storage.</li><li>Data Modeling: Lead efforts to design and implement data models and schemas to support analytical and operational requirements, ensuring data integrity, consistency, and performance.</li><li>Data Integration: Lead the design and implementation of data integration solutions to integrate data from various sources into a unified data architecture, ensuring seamless data flow and interoperability.</li><li>Data Governance: Define and implement data governance policies and procedures to ensure data quality, security, and compliance with regulatory requirements.</li><li>Performance Optimization: Lead efforts to optimize data architecture performance through indexing, partitioning, and other techniques, ensuring scalability and responsiveness for analytical and reporting needs.</li><li>Metadata Management: Establish and maintain metadata management processes to capture and maintain metadata for data assets, ensuring data lineage, governance, and traceability.</li><li>Data Security: Lead efforts to implement data security controls and encryption mechanisms to protect sensitive data assets and ensure compliance with security standards and regulations.</li><li>Documentation and Best Practices: Define and promote best practices for data architecture design and development, ensuring clear and comprehensive documentation to facilitate understanding and collaboration among team members.</li><li>Collaboration: Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to understand requirements and deliver data architecture solutions that meet business needs.</li><li>Mentorship and Development: Mentor and coach junior architects and engineers, providing guidance, support, and opportunities for skill development and career growth.</li></ol> Qualifications:<ul><li>Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.</li><li>10+ years of experience in data architecture, with significant experience in designing, building, and optimizing data architecture solutions.</li><li>Proven leadership experience, with a track record of successfully leading data architecture teams and delivering complex projects.</li><li>Proficiency in data modeling tools and techniques, with experience designing and implementing data models and schemas for data warehouses, data lakes, and other data systems.</li><li>Strong understanding of data integration concepts and techniques, with experience integrating data from diverse sources and systems.</li><li>Experience with data governance frameworks and best practices, including data quality management, metadata management, and data lineage tracking.</li><li>Strong problem-solving skills and analytical thinking, with the ability to design and troubleshoot complex data architecture issues.</li><li>Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.</li></ul>Benefits<ul><li>Competitive salary: The industry standard salary for Lead Data Architects typically ranges from $210,000 to $300,000 per year, depending on experience and qualifications.</li><li>Comprehensive benefits package, including health insurance, retirement plans, and wellness programs.</li><li>Flexible work arrangements, including remote work options and flexible hours.</li><li>Generous vacation and paid time off.</li><li>Professional development opportunities, including access to training programs, conferences, and workshops.</li><li>State-of-the-art technology environment with access to cutting-edge tools and resources.</li><li>Vibrant and inclusive company culture with opportunities for growth and advancement.</li><li>Exciting projects with real-world impact at the forefront of data-driven innovation.</li></ul> Join Us: Ready to lead the charge in data architecture? Apply now to join our team and be part of the data revolution!</div></div>

<h3>Job Description</h3><div>Job Description<div>Company Overview: Welcome to the forefront of data-driven innovation! Our company is dedicated to harnessing the power of data to drive transformative change and solve complex problems across industries. We're committed to building cutting-edge data architecture solutions that enable efficient data management, storage, and analytics. Join us and be part of a dynamic team shaping the future of data architecture.Position Overview: As a Senior Data Architect, you'll play a crucial role in designing, building, and optimizing our data architecture solutions. You'll work on challenging projects, from data modeling and schema design to data integration and governance, to support the needs of our data-driven organization. If you're a seasoned architect with expertise in data architecture technologies and a passion for building scalable and robust data systems, we want you on our team.RequirementsKey Responsibilities:<ol><li>Data Architecture Design: Lead the design and development of our data architecture solutions, including data models, schemas, and architecture, to meet business requirements and ensure efficient data management and storage.</li><li>Data Modeling: Design and implement data models and schemas to support analytical and operational requirements, ensuring data integrity, consistency, and performance.</li><li>Data Integration: Design and implement data integration solutions to integrate data from various sources into a unified data architecture, ensuring seamless data flow and interoperability.</li><li>Data Governance: Define and implement data governance policies and procedures to ensure data quality, security, and compliance with regulatory requirements.</li><li>Performance Optimization: Optimize data architecture performance through indexing, partitioning, and other techniques, ensuring scalability and responsiveness for analytical and reporting needs.</li><li>Metadata Management: Establish and maintain metadata management processes to capture and maintain metadata for data assets, ensuring data lineage, governance, and traceability.</li><li>Data Security: Implement data security controls and encryption mechanisms to protect sensitive data assets and ensure compliance with security standards and regulations.</li><li>Documentation and Best Practices: Document data architecture designs, processes, and best practices, providing clear and comprehensive documentation to facilitate understanding and collaboration among team members.</li><li>Collaboration: Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to understand requirements and deliver data architecture solutions that meet business needs.</li><li>Mentorship and Development: Mentor and coach junior architects and engineers, providing guidance, support, and opportunities for skill development and career growth.</li></ol>Qualifications:<ul><li>Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.</li><li>8+ years of experience in data architecture, with significant experience in designing, building, and optimizing data architecture solutions.</li><li>Proficiency in data modeling tools and techniques, with experience designing and implementing data models and schemas for data warehouses, data lakes, and other data systems.</li><li>Strong understanding of data integration concepts and techniques, with experience integrating data from diverse sources and systems.</li><li>Experience with data governance frameworks and best practices, including data quality management, metadata management, and data lineage tracking.</li><li>Strong problem-solving skills and analytical thinking, with the ability to design and troubleshoot complex data architecture issues.</li><li>Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders.</li></ul>Benefits<ul><li>Competitive salary: The industry standard salary for Senior Data Architects typically ranges from $190,000 to $250,000 per year, depending on experience and qualifications.</li><li>Comprehensive health, dental, and vision insurance plans.</li><li>Flexible work hours and remote work options.</li><li>Generous vacation and paid time off.</li><li>Professional development opportunities, including access to training programs, conferences, and workshops.</li><li>State-of-the-art technology environment with access to cutting-edge tools and resources.</li><li>Vibrant and inclusive company culture with opportunities for growth and advancement.</li><li>Exciting projects with real-world impact at the forefront of data-driven innovation.</li></ul> Join Us: Ready to shape the future of data architecture? Apply now to join our team and be part of the data revolution!</div></div>

<h3>Job Description</h3><div>Job Description<div>Shape the Future of DataWe're not just collecting data; we're crafting the blueprint for tomorrow's innovations. As a Big Data Architect, you'll spearhead our efforts to design and construct the infrastructure that underpins our cutting-edge data solutions. Your vision will pave the way for breakthroughs that leverage colossal data sets to solve real-world problems.Your Role:<ul><li>Architect and refine our big data infrastructure, ensuring it's robust, scalable, and primed for innovation.</li><li>Lead the charge in adopting new technologies and methodologies in data processing, storage, and analysis.</li><li>Work closely with data scientists, engineers, and stakeholders to transform complex requirements into functional, scalable systems.</li><li>Pioneer solutions that are not only efficient but also ethical and privacy-compliant, setting industry standards for big data architecture.</li><li>Mentor and guide a team of engineers and developers, fostering an environment of innovation and continuous improvement.</li></ul>Why:<ul><li>Lead the way in a company that's at the forefront of data innovation, with your work impacting industries and improving lives.</li></ul><ul><li>Enjoy a competitive compensation package, complete with benefits and stock options.</li></ul><ul><li>Benefit from a flexible work environment, where your balance and wellbeing are genuinely valued.</li></ul><ul><li>Take advantage of continuous learning opportunities to stay at the cutting edge of your field.</li></ul><ul><li>Thrive in a diverse, inclusive culture that celebrates your unique contributions and fosters growth and collaboration.</li></ul>Join Us:To apply, please send your resume, a cover letter detailing your architectural achievements, and examples of projects or systems you've designed that demonstrate your expertise in big data architecture.RequirementsWho We're Looking For:<ul><li>Someone with a deep understanding of big data technologies (e.g., Hadoop, Spark, Kafka) and experience in cloud platforms like AWS, Azure, or Google Cloud.</li></ul><ul><li>A background in Computer Science, Data Science, Engineering, or a related field, combined with extensive experience in data architecture.</li></ul><ul><li>Expertise in designing scalable and reliable data solutions, with a knack for anticipating future data needs and trends.</li></ul><ul><li>Proficiency in data modeling, ETL processes, and real-time analytics frameworks.</li></ul><ul><li>A visionary leader with a track record of innovative solutions and the ability to communicate complex concepts to non-technical stakeholders.</li></ul>Benefits<ul><li>Unlimited Paid Time Off (PTO): Encourages work-life balance and shows trust in your employees to manage their time effectively.</li><li>Professional Development Fund: Allocate a certain budget for each employee to attend conferences, workshops, or courses of their choice, fostering continuous learning and growth.</li><li>Remote Work Options: Even post-pandemic, the flexibility to work from anywhere can be a huge draw for talent who value the ability to travel or prefer not to relocate.</li><li>Wellness Programs: Offer subscriptions to mental health apps, fitness memberships, or even in-office wellness activities like yoga and meditation sessions.</li></ul><ul><li>Pet-Friendly Workplace: Allow employees to bring their pets to work, reducing stress and promoting a more relaxed atmosphere.</li><li>Tech Stipend: Provide a budget for employees to set up or upgrade their home office setup, ensuring they have the tools they need to succeed.</li><li>Four-Day Work Week: Implement a condensed workweek to promote productivity and work-life balance.</li><li>Parental Support: Offer generous parental leave policies, childcare assistance, or even on-site childcare services.</li><li>Sabbatical Leave: Allow employees to take an extended leave of absence after a certain period of employment to travel, pursue personal projects, or simply recharge.</li><li>Equity or Stock Options: Give employees a stake in the company's success, aligning their interests with the company's long-term goals.</li><li>Transportation and Parking Benefits: Provide subsidies for public transportation, electric vehicle charging stations, or free parking to ease the commute.</li><li>Customized Career Pathing: Work with employees to design personalized career development plans, acknowledging their unique strengths and ambitions.</li><li>Health and Safety: Offer comprehensive health insurance, including mental health coverage, and ergonomic workplace assessments to ensure physical well-being.</li><li>Food and Snacks: Provide free meals, a well-stocked kitchen, or food allowances, especially for teams working late or in crunch times.</li><li>Team Retreats and Offsites: Organize annual retreats in exciting locales to build team cohesion and reward hard work.</li></ul></div></div>

<h3>Job Description</h3><div>Job Description<div>Company Overview: Welcome to the forefront of data architecture! At our company, we're dedicated to leveraging the power of data to drive insights and innovation. Our mission is to develop scalable and efficient data architecture solutions that enable organizations to unlock the full potential of their data. Join us and be part of a dynamic team committed to shaping the future of data architecture and management.Position Overview: As a Data Architect, you'll play a critical role in designing, building, and maintaining our data architecture to support the needs of our organization. Working closely with cross-functional teams of data engineers, analysts, and business stakeholders, you'll ensure the reliability, scalability, and efficiency of our data solutions. If you're passionate about data architecture and eager to drive innovation through scalable data solutions, we want you on our team.RequirementsKey Responsibilities:<ol><li>Data Architecture Design: Design and architect scalable and efficient data architecture solutions to meet business requirements, including data models, schemas, and storage structures.</li><li>Data Modeling: Develop and maintain conceptual, logical, and physical data models to support data integration, analysis, and reporting.</li><li>Data Governance and Compliance: Implement data governance policies and standards to ensure the quality, integrity, and security of data assets, and ensure compliance with regulatory requirements.</li><li>Data Integration: Design and implement data integration solutions to ingest and integrate data from diverse sources, ensuring data consistency and coherence across systems.</li><li>Data Storage and Management: Manage data storage solutions, including databases, data lakes, and cloud storage services, optimizing for performance, cost, and scalability.</li><li>Data Lifecycle Management: Define and implement data lifecycle management processes to manage the lifecycle of data from creation to archival or deletion.</li><li>Data Quality and Metadata Management: Implement data quality checks, validation rules, and metadata management processes to ensure the accuracy, completeness, and consistency of data.</li><li>Documentation and Collaboration: Document data architecture designs, standards, and best practices, and collaborate with cross-functional teams to ensure alignment and transparency.</li></ol>Qualifications:<ul><li>Bachelor's degree or higher in Computer Science, Engineering, or related field.</li><li>Strong background in data architecture, with hands-on experience in designing, building, and optimizing data architecture solutions.</li><li>Proficiency in data modeling techniques and tools, including ER modeling, dimensional modeling, and data modeling tools (e.g., ERwin, ER/Studio, PowerDesigner).</li><li>Experience with database technologies such as relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL databases (e.g., MongoDB, Cassandra).</li><li>Familiarity with data warehousing concepts and technologies, including ETL (Extract, Transform, Load) processes, data lakes, and data warehouse platforms (e.g., Amazon Redshift, Google BigQuery).</li><li>Strong problem-solving abilities and analytical thinking, with a keen attention to detail and a passion for tackling complex technical challenges.</li><li>Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.</li></ul>Benefits<ul><li>Competitive salary: The industry standard salary for Data Architects typically ranges from $150,000 to $230,000 per year, depending on experience and qualifications. Exceptional candidates may be eligible for higher compensation packages.</li><li>Comprehensive health, dental, and vision insurance plans.</li><li>Flexible work hours and remote work options.</li><li>Generous vacation and paid time off.</li><li>Professional development opportunities, including access to training programs, conferences, and workshops.</li><li>State-of-the-art technology environment with access to cutting-edge tools and resources.</li><li>Vibrant and inclusive company culture with team-building activities and social events.</li><li>Opportunities for career growth and advancement within the company.</li><li>Exciting projects with real-world impact across diverse industries.</li><li>Chance to work alongside top talent and industry experts in the field of data architecture and management.</li></ul>Join Us: Ready to shape the future of data architecture? Apply now to join our team and be part of an exciting journey of innovation and discovery!</div></div>

Data Architect Unreal Gigs Jobs

Lead Data Architect
July 17, 2024

Senior Data Architect
July 17, 2024

Big Data Architect
July 17, 2024

Data Architect
July 17, 2024

Data Architect
July 8, 2024

Quick filters

Top companies

Data Architect Unreal Gigs Jobs

Lead Data ArchitectJuly 17, 2024

Senior Data ArchitectJuly 17, 2024

Big Data ArchitectJuly 17, 2024

Data ArchitectJuly 17, 2024

Data ArchitectJuly 8, 2024