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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Director, Business Intelligence and Data Engineering - **Company:** The Lisinski Law Firm, LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $176,000.0 - $229,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Business Systems, Software as a Service, Information Systems, Data Architecture, Data Dictionary, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Human Resources Information System (HRIS), Intelligence Analysis, Python (Programming Language), Meta-Data Management, Salesforce.Com, SQL Databases, Google Cloud, Cloud Platform System, Snowflake, Data Strategy, HR Software, Information Technology, Data Analytics, Data Lakehouse, Data Pipelines, Databricks - **Published:** July 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=c30338d746bbd433 ## About the Role * Bachelor's degree in Computer Science, Data Engineering, Information Systems, Statistics, or a related field. * 10-15 years of progressive experience in Data Engineering, Business Intelligence, Analytics, or related disciplines. * 7+ years of leadership experience managing technical teams and driving large-scale data initiatives. * Proven experience designing and building a data warehouse or data lakehouse-not simply managing an existing environment. * Strong expertise in SQL and at least one data engineering programming language (Python preferred). * Experience with cloud-based data platforms such as Azure, AWS, GCP, Snowflake, Databricks, or comparable technologies. * Strong understanding of data governance, data quality management, metadata management, and enterprise reporting. * Exceptional ability to communicate complex technical concepts to executive and non-technical audiences., * Master's degree in a related technical field. * Experience integrating data across CRM platforms (Salesforce preferred), financial systems, HRIS, telephony systems, and SaaS applications. * Experience in high-growth, operationally complex organizations. * Legal industry experience is a plus, but not required. * Experience building data organizations and processes in environments where data infrastructure was previously immature or fragmented., * Thrives in complex, ambiguous environments and enjoys creating structure where none exists. * Sees messy data challenges as opportunities, not obstacles. * Combines deep technical expertise with strong business acumen. * Can architect solutions while also rolling up your sleeves when needed. * Builds trust and influence with executives, stakeholders, and technical teams alike. * Leads with accountability, curiosity, and a continuous improvement mindset. * Has a track record of turning data into measurable business outcomes. ## Description Lisinski Law Firm is seeking a visionary and hands-on Director of Business Intelligence & Data Engineering to transform how data is managed, governed, and leveraged across the organization. This is not a maintenance role-it is a true build-and-lead opportunity. Today, the firm's critical data lives across multiple systems including Salesforce/Litify, RingCentral, financial platforms, HRIS solutions, and numerous SaaS applications. The environment is fragmented, reporting definitions vary across departments, and a unified data platform does not yet exist. We're looking for a leader who sees that challenge as an opportunity. As Director of Business Intelligence & Data Engineering, you will design and build the firm's modern data ecosystem from the ground up, creating the architecture, governance, reporting capabilities, and analytics strategy that will enable leaders to make smarter, faster, and more informed decisions. You'll oversee both Data Engineering and Business Intelligence functions, building a team, establishing best practices, and creating a scalable foundation that supports the firm's continued growth. If you're passionate about building data organizations, solving complex problems, and turning information into strategic advantage, we'd love to talk with you., * Design and implement a modern data warehouse or data lakehouse architecture from the ground up. * Evaluate and select the best-fit technologies, platforms, and tools based on organizational needs-not vendor preference. * Build scalable data pipelines that connect critical business systems including Salesforce/Litify, telephony platforms, financial applications, HR systems, and third-party SaaS solutions. * Establish automated, repeatable ETL/ELT processes that improve efficiency, reliability, and scalability. Lead Data Strategy and Governance * Create and implement a comprehensive data governance framework, including KPI definitions, metric standards, data dictionaries, and ownership models. * Establish data quality standards and processes that identify, measure, and remediate data integrity issues across the organization. * Drive consistency and trust in reporting by creating a single source of truth for business metrics and operational reporting. * Develop practices that ensure compliance with privacy, security, and regulatory requirements. Transform Reporting into Actionable Intelligence * Design and deliver executive dashboards and operational reporting that drive decisions-not just display information. * Partner with business leaders to translate strategic questions into meaningful metrics, analytics, and reporting solutions. * Build proactive analytics capabilities that identify trends, risks, opportunities, and performance drivers before stakeholders ask. * Elevate the organization from reactive reporting to predictive and insight-driven decision-making., * Hire, mentor, and develop technical talent while fostering a culture of accountability, innovation, and continuous improvement. * Establish team goals, roadmaps, and measurable quarterly outcomes aligned with business priorities. * Reduce operational risk by building scalable processes and eliminating single points of failure., * Collaborate with executive leadership, department leaders, and technology stakeholders to align data strategy with firm objectives. * Work closely with the VP of IT/CIO and peer technology leaders to ensure data architecture aligns with broader technology initiatives. * Serve as a trusted advisor who can translate complex technical concepts into clear, business-focused recommendations and insights. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)