AnalyticsIQ is the leading people-based marketing data creator & predictive analytics innovator. Our mission is to fuel better outcomes for all by creating reliable & predictive people-based data by blending cognitive psychology with data science. We help B2C & B2B organizations across industries understand who people are, what they do, & why they make decisions to help brands improve marketing & analytic results. AnalyticsIQ is headquartered in Atlanta, Georgia, & employs a growing team of industry experts, data scientists & cognitive psychologists. Our company values CREATE a high standards culture made up of collaboration, respect, ethics, accountability, trust, & excellence. As a member of our team, you will have an opportunity to thrive within an incredible culture that provides market leading solutions, competitive pay & benefits, proven support for work-life balance, a commitment to teamwork, & support for personal & professional growth. We invite you to experience the brilliance!

Job Description:

As the Director of Data Engineering at AnalyticsIQ, you will lead the strategic direction & execution of our data engineering initiatives. You will oversee the development and implementation of scalable data architectures & ensure data quality, security, & compliance. Your role involves mentoring & leading a high-performing data engineering team, collaborating with stakeholders to align data strategies with business objectives, and driving innovation in data solutions.

Responsibilities:

• Develop & implement the data engineering strategy, aligning initiatives with organizational goals.
• Lead & mentor the data engineering team to foster innovation, collaboration, & continuous improvement.
• Manage recruitment, development, & retention strategies for the department.
• Design, develop, & optimize robust, scalable data architectures in a cloud environment.
• Architect data models to support efficient storage & retrieval.
• Define best practices for coding standards, code reviews, & documentation.
• Ensure data quality, accuracy, security, & compliance with regulations.
• Act as a subject matter expert on data strategies that drive business objectives.
• Oversee the planning, execution, & delivery of data projects.
• Stay up to date on the latest big data trends and technologies. Evaluate new tools and solutions to optimize our data infrastructure.
• Establish & enforce data governance policies for integrity & availability.

Qualifications:

• Minimum bachelor’s degree in computer science, engineering or related field.
• 10+ years of experience in data engineering, with a focus on big data architecture.
• Strong expertise in data modeling, ETL processes and data warehousing concepts. Proven experience in designing and implementing big data processing pipelines.
• In-depth knowledge of big data technologies such as Hadoop, Spark and related ecosystems (e.g., HDFS, YARN), Nifi, Airflow, etc. Intensive experience with cloud platforms (AWS preferred) and related data services.
• Strong understanding of quality assurance and related practices in data product.
• Strong leadership, communication, & interpersonal skills.
• Proven ability to translate business needs into technical solutions.
• Experience with machine learning, SAS, digital advertising, or data-as-a-service models is a bonus.

Competencies

• Big Data Management
• Data Governance and Compliance
• Data Visualization and Presentation
• Data Engineering
• Data Management and Analysis
• Visioning and Alignment
• Knowledge Management
• Exemplifying Integrity
• Fostering Learning and Development
• Ensuring Accountability
• Inspiring Others
• Acting with Empathy & Compassion

What You Can Expect from Us:

• A collaborative & supportive company culture with a rewarding work environment
• Work-life-balance
• Employee development
• Room for upward growth within the organization
• Competitive pay
• Comprehensive benefits including 100% of family health, dental, & vision
• 401k with company matching
• Opportunity to attend a variety of events including company & industry events
• Paid parental leave
• Paid vacation days that increase with time employed with company
• Sports & entertainment tickets available to employees
• Reimbursement towards family fitness club membership

As a note, your application will not be considered if you live in the Pacific Time zone. We are currently seeking candidates in the Eastern, Central, & Mountain time zones, Eastern & Central preferrably.