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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Lead, Data Analytics - **Company:** ARKATECHTURE CORP. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $100,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Confluence, JIRA, BigQuery, Cloud Computing, Cloud Database, Cloud Engineering, Learning Management Systems, Information Engineering, Data Governance, Data Warehousing, Relational Databases, Python (Programming Language), Machine Learning, Microsoft SQL Server, Oracle (Applications), Power BI, Cloud Services, Standard Sql, SQL Databases, Tableau (Software), Snowflake, Data Analytics, Bitbucket, Data Management, Azure Synapse Analytics, Data Pipelines, Amazon Redshift, Databricks - **Published:** July 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b452e0488da84359 ## About the Role We're looking for someone who enjoys solving difficult technical problems and helping others do the same. * 6+ years of experience working with SQL in production environments * Deep expertise with relational databases and cloud data platforms (Snowflake, Databricks, SQL Server, Oracle, Redshift, Synapse, BigQuery, or similar) * Strong experience designing, troubleshooting, and optimizing data warehouses and analytics solutions * Experience with Tableau and Power BI * A strong understanding of data modeling, ELTprocesses, and modern analytics architecture * Exceptional analytical and troubleshooting skills * Outstanding communication skills and the ability to build trusted customer relationships * Experience mentoring teammates or serving as a technical leader * Experience with Agile development practices and tools such as Jira, Confluence, and Bitbucket Experience with any of the following is a plus: * Professional Python experience * Experience supporting cloud infrastructure, preferably AWS * Financial services, banking, or credit union technology * Customer-facing consulting or technical support leadership * Modern data engineering and cloud architecture * Data governance or data quality initiatives * AI or machine learning technologies ## Description We're looking for an experienced technical leader who is passionate about solving complex data problems, mentoring others, and helping customers unlock the full potential of their data. If you enjoy writing SQL one minute, architecting a cloud data solution the next, and coaching teammates along the way, we'd love to meet you. As the Technical Lead, Data Analytics, you'll serve as the senior technical expert for a portfolio of enterprise customers while helping shape the future of our Support Services team. This is a hands-on technical leadership role, not a people manager who occasionally reviews code. You'll spend much of your time solving challenging SQL and cloud data platform problems, partnering directly with customers, mentoring analysts, and driving technical excellence across the organization. While this role is expected to grow into formal people leadership, your technical expertise, problem-solving ability, and customer partnership skills are what will make you successful from day one., * Serve as the senior technical resource for our Business Intelligence and Data Analytics Support team. * Lead the investigation and resolution of complex customer issues involving data, analytics, and cloud platforms. * Perform root cause analysis and implement scalable, long-term solutions-not just quick fixes. * Review SQL and BI object changes while promoting development best practices. * Mentor and coach analysts, helping elevate the technical capabilities of the entire team. * Identify opportunities for automation and continuous improvement across support processes. * Lead root cause analysis meetings as necessary to dig into any thematic issues that crop up and how we can mitigate them * Help customers maximize the value of Arkatechture's analytics platform through technical guidance and best practices. * Partner closely with Customer Success to improve customer satisfaction, retention, and platform adoption. * Support customer meetings by offering technical expertise, hold office hours, expand upon Knowledge Base articles and Learning Management System training for customers. * Communicate complex technical concepts clearly to both technical and non-technical audiences. * Design, develop, troubleshoot, and optimize complex SQL solutions. * Troubleshoot ELT processes, data pipelines, and BI reporting environments. * Monitor and resolve issues with Tableau and Power BI dashboards and scheduled refreshes. * Collaborate across Engineering, Customer Success, and Product teams to deliver scalable customer solutions. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Making Data Warehouses fast. 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