Inventory and reverse-engineer M365 and Power Platform workloads to document entities and process flows; produce Bronze->Silver->Gold source-to-target mappings with transformation rules and data-quality defects; reconcile identifiers against core systems; ensure secure extraction per sensitivity and retention policies; define data-quality gates and confidence scoring; and support pipeline development, automated testing, and validation of Gold outputs.
JD: Inventory and reverse-engineer business-critical M365 and Power Platform workloads (SharePoint lists and libraries, Dataverse tables, Power Apps, Power Automate flows) to identify where business processes and business-critical data genuinely live. • Document the true entities and process flows carried in these applications, including shadow processes that have grown up outside core enterprise systems. • Produce Bronze → Silver → Gold source-to-target mappings for the in-scope M365 sources, including transformation rules and data-quality defects. • Define the M365 contribution to DNA crosswalk keys and reconcile identifiers (people, projects, sites, assets) against the core enterprise systems. • Work with Security and Compliance to ensure extraction respects sensitivity labelling, retention, and identity/access requirements. • Define data-quality gates and confidence scoring for M365-sourced KPIs and steward them through certification. • Support pipeline development, automated testing, and validation of Gold outputs. Required qualifications and experience • 4+ years working with the Microsoft 365 and Power Platform stack in a data, integration or solution capacity. • Hands-on experience with Dataverse, SharePoint Online data structures, Microsoft Graph API, and Power Platform dataflows. • Demonstrated ability to reverse-engineer distributed or informally governed application estates into a coherent entity model. • Strong SQL and data-profiling skills. • Working knowledge of M365 security, sensitivity labelling and compliance constraints as they affect data extraction.
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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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