Data Architect & Team Lead

Who We AreKonrad is an AI-driven digital consultancy and product-innovation firm providing AI, strategy, design, and technology services to the world’s most ambitious businesses and brands.
We empower industry-leading brands to navigate change, strategize, and build extraordinary custom experiences. In a landscape defined by human and machine collaboration, we bridge the gap between complex AI and beautiful product design. From strategy to implementation, our 750+ global experts deliver intelligent solutions trusted by 500 million people.
About The RoleAs a Data Architect & Team Lead, you will combine hands‑on technical architecture expertise with people and delivery leadership. You will be tasked with designing, building, and maintaining scalable data platforms and pipelines while guiding, mentoring, and empowering a talented team of data engineers. Your deep knowledge of data platforms such as Microsoft Fabric, Databricks, and Snowflake will be essential as you collaborate closely with cross‑functional teams, clients, and technical stakeholders to deliver reliable, secure, and cutting‑edge data solutions.
What You’ll Do
Design, build, and manage robust data pipelines and scalable data architectures.
Implement solutions leveraging platforms such as Microsoft Fabric, Databricks, and Snowflake.
Lead, mentor, and support a team of data engineers, promoting technical best practices and continuous growth.
Guide technical delivery, sprint planning, task estimation, and code reviews across data initiatives.
Optimize data workflows, ensuring reliability, scalability, performance, and high data quality.
Collaborate with internal and external stakeholders to understand data needs and deliver tailored solutions.
Ensure data security, governance, and compliance with industry standards and best practices.
Perform data modeling, data extraction, transformation, and loading (ETL/ELT).
Identify and recommend innovative solutions to enhance analytics capabilities and AI integration.
Qualifications
Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
6+ years of professional experience in Data Architecture, Engineering, or a similar capacity.
2+ years of experience leading, managing, or mentoring technical engineering teams or serving as a Tech Lead.
Strong programming proficiency in SQL, Python, Scala, or related languages.
Deep, hands‑on expertise in enterprise data platforms such as Microsoft Fabric, Databricks, and Snowflake.
Strong track record with cloud services (AWS, Azure, or GCP), data pipelines, storage solutions, and big data technologies (Spark, Kafka, etc.).
Proven experience in project coordination, task prioritization, sprint delivery, and technical mentorship.
Exceptional analytical, troubleshooting, and problem‑solving abilities.
Excellent communication skills, with a proven ability to convey complex architecture concepts clearly to both technical teams and non-technical stakeholders.
Nice to Have
Formal leadership training or experience managing cross‑functional delivery teams in a consultancy or agency environment.
Professional certifications in Azure/AWS/GCP Data Architecture, Databricks, or Snowflake.
Experience with DevOps practices, CI/CD pipelines, and infrastructure as code (IaC) for data infrastructure.
Perks and Benefits
Comprehensive Health & Wellness Benefits Package
Socials, Outings & Retreats
Retirement Planning
Parental Leave Program
Annual tech & travel allowance
Culture of Learning & Development
Flexible Working Hours
Work from Home Flexibility
Service Recognition Programs
Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation.
The estimated compensation for this position is $140,000 to $180,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data.
While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted.
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